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1.

図書
図書
1. Compression and automatic recognition
Arnon Cohen
出版情報: Boca Raton, Fla. : CRC Press, c1986  195 p. ; 27 cm
シリーズ名: Biomedical signal processing / Arnon Cohen ; v. 2
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2.

図書
図書
2. Introduction to random processes : with applications to signals and systems
William A. Gardner
出版情報: New York, N.Y. : Macmillan Pub. Co., c1986  xiii, 434 p. ; 24 cm
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3.

図書
図書
3. Aspects of radar signal processing
Bernard L. Lewis, Frank F. Kretschmer, Jr., Wesley W. Shelton
出版情報: Norwood, MA : Artech House, c1986  vii, 554 p. ; 29 cm
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4.

図書
図書
4. Advanced topics in signal processing
edited by Jae S. Lim, Alan V. Oppenheim
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1988  x, 518 p. ; 25 cm
シリーズ名: Prentice Hall signal processing series
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5.

図書
図書
5. Elastic waves in solids : applications to signal processing
E. Dieulesaint, D. Royer ; translated by A. Bastin and M. Motz
出版情報: Chichester [Eng.] ; New York : J. Wiley, c1980  xix, 511 p. ; 24 cm
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6.

図書
図書
6. Array signal processing
Simon Haykin, editor ; James H. Justice ... [et al.]
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1985  ix, 433 p. ; 25 cm
シリーズ名: Prentice Hall signal processing series
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7.

図書
図書
7. Surface-wave devices for signal processing
David P. Morgan
出版情報: Amsterdam ; New York : Elsevier, 1985  xvi, 432 p. ; 25 cm
シリーズ名: Studies in electrical and electronic engineering ; 19
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目次情報: 続きを見る
Introductory Survey / 1：
Acoustic Waves in Elastic Solids / 2：
Electrical Excitation at a Plane Surface / 3：
Analysis of Interdigital Transducers / 4：
The Multi-Strip Coupler and its Applications / 5：
Propagation Effects and Materials / 6：
Delay Lines and Multi-Phase Transducers / 7：
Bandpass Filters / 8：
Chirp Filters and Their Applications / 9：
Devices for Spread-Spectrum Communications / 10：
Appendices
References
Index
Introductory Survey / 1：
Acoustic Waves in Elastic Solids / 2：
Electrical Excitation at a Plane Surface / 3：
8.

図書
図書
8. Traitement du signal = Signal processing (: set ; v. 1 ; v. 2)
édité par Jean-Louis Lacoume, Tariq Salim Durrani et Raymond Stora
出版情報: Amsterdam ; Tokyo : North-Holland , New York, NY, USA : Sole distributors for the USA and Canada, Elsevier Science Pub. Co., 1987  2 v. (li, 858 p.) ; 23 cm
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9.

図書
図書
9. Applications of digital signal processing
Alan V. Oppenheim, editor
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1978  xii, 499 p. ; 24 cm
シリーズ名: Prentice Hall signal processing series
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10.

図書
図書
10. Signal processing : the modern approach
James V. Candy
出版情報: New York : McGraw-Hill, c1988  xiv, 386 p. ; 25 cm
シリーズ名: McGraw-Hill series in electrical engineering ; . Communications and signal processing
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11.

図書
図書
11. Computer speech technology (: alk. paper)
Robert D. Rodman
出版情報: Boston : Artech House, c1999  xv, 344 p. ; 24 cm
シリーズ名: The Artech House signal processing library
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目次情報: 続きを見る
Preface
About Speech / 1：
Introduction / 1.1：
How Speech Is Produced / 1.2：
The Vocal Tract / 1.2.1：
Articulatory Phonetics / 1.2.2：
Phonetic Alphabets / 1.2.3：
Prosody and Suprasegmentals / 1.2.4：
Syllables / 1.2.5：
Dialects / 1.2.6：
Languages (Other Than English) / 1.2.7：
Acoustic Phonetics / 1.3：
Phonemics / 1.4：
Articulatory Processes / 1.5：
References
Representing Speech in the Computer / 2：
Microphones / 2.1：
Sampling / 2.3：
Sampling Rate / 2.3.1：
Quantization / 2.3.2：
Speech Digitization / 2.4：
Wave Form Coders / 2.4.1：
Voice Coders (Vocoders) / 2.4.2：
The Frequency Domain / 2.5：
The Game of Jumble: Spectrum-Cepstrum, Frequency-Quefrency, Filtering-Liftering / 2.5.1：
Spectrograms: A Hybrid Representation of Speech / 2.5.2：
Speech Recognition / 3：
Speech Recognition: What It Is; What It Isn't / 3.1：
Why Is Speech Recognition Easy for Us and Difficult for Our Computers? / 3.3：
A Brief History of Speech Recognition / 3.4：
The Era of ARPA / 3.4.1：
After ARPA / 3.4.2：
Three Dimensions of Speech Recognition / 3.5：
Continuous Versus Noncontinuous / 3.5.1：
Speaker-Independent Versus Speaker-Dependent / 3.5.2：
Vocabulary Size / 3.5.3：
Tradeoffs and Interactions / 3.5.4：
Units of Speech Recognition / 3.6：
Words and Phrases / 3.6.1：
Phonemes / 3.6.2：
Diphones and Triphones / 3.6.4：
Representing the Units / 3.7：
Acoustic Features / 3.7.1：
Comparing the Units / 3.8：
Dynamic Time Warping (DTW) / 3.8.1：
Hidden Markov Models (HMMs) / 3.8.2：
Future Challenges I / 3.9：
Artificial Neural Networks (ANNs) / 3.9.1：
Errors / 3.10：
Types of Errors / 3.10.1：
Error Tolerances / 3.10.2：
Performance Evaluation of Speech Recognizers / 3.11：
Error Rates / 3.11.1：
Other Factors / 3.11.2：
Error Reduction / 3.12：
Environmental Effects / 3.12.1：
Human Factors / 3.12.2：
Subsetting / 3.12.3：
Vocabulary Selection / 3.12.4：
Error Detection and Correction / 3.13：
Feedback Systems / 3.13.1：
Higher Levels of Linguistic Knowledge / 3.13.2：
Automatic Error Correction / 3.13.3：
Future Challenges II / 3.14：
Speech Synthesis / 4：
Introduction and History / 4.1：
Parametric Coding (Electronic Synthesis) / 4.2：
Parameters of Parametric Speech Synthesis / 4.2.1：
Input Units of Parametric Speech Synthesis / 4.2.2：
Concatenative Synthesis / 4.3：
Allophone Concatenation / 4.3.1：
Diphone Concatenation / 4.3.2：
Demisyllable Concatenation / 4.3.3：
Waveform of Concatenative Units / 4.3.4：
Text-to-Speech Processing / 4.4：
Rules and Exceptions / 4.4.1：
Morphological Analysis / 4.4.2：
Articulation Effects / 4.4.3：
Prosody / 4.4.4：
Special Problems / 4.4.5：
Concept-to-Speech / 4.5：
Languages of the World / 4.6：
Performance Evaluation / 4.6.1：
Intelligibility / 4.7.1：
Comprehensibility / 4.7.2：
Pleasantness/Naturalness / 4.7.3：
Future Challenges / 4.8：
Speaker Recognition, Language Identification, and Lip Synchronization / 5：
Speaker Recognition / 5.1：
Speaker Recognition Versus Speech Recognition / 5.1.1：
Types of Speaker Recognition / 5.1.2：
Text-Dependent, Text-Independent, and Text-Prompted Speaker Recognition / 5.1.3：
"Voiceprints" / 5.1.4：
Methods of Speaker Recognition / 5.1.5：
Noise / 5.1.6：
Performance Evaluation of Speaker Recognition Systems / 5.1.7：
Co-channel Speaker Separation / 5.2：
Language Identification / 5.3：
Four Computational Approaches to Language Identification / 5.3.1：
Performance Evaluation of Language Identification Systems / 5.3.2：
Lip Synchronization / 5.4：
Visemes / 5.4.1：
Mapping Directly From the Speech Signal to Mouth Shapes / 5.4.2：
Applications in Speech Recognition / 5.5：
Criteria for a Viable Speech Recognition Application / 6.1：
Hands Busy, Eyes Busy / 6.1.1：
Remoteness / 6.1.2：
Miniaturization / 6.1.3：
2001 Won't Be 2001 / 6.2：
The Role of Human Factors in Speech Recognition Applications / 6.3：
Application Areas / 6.4：
Assistive Technology / 6.4.1：
Telecommunications / 6.4.2：
Command and Control / 6.4.3：
Data Entry and Retrieval / 6.4.4：
Education / 6.4.5：
Applications in Speech Synthesis / 7：
"At the Tone, the Time Will Be..." / 7.1：
When To Use Text-to-Speech; When To Use Digitally Recorded Speech / 7.2：
Interactive Voice Response Systems (IVRs) / 7.3：
Human Factors Revisited / 7.4：
Aid for Persons With Disabilities / 7.5：
Emergency Scenarios / 7.5.2：
En Masse Advisories / 7.5.4：
Information Retrieval / 7.5.5：
Information Reporting / 7.5.6：
Electronic Mail and Fax Readers / 7.5.7：
In the Dark / 7.5.8：
Toys and Games / 7.5.9：
Transportation / 7.5.10：
Government Services / 7.5.11：
Disguise / 7.5.12：
Applications in Speaker Recognition, Language Identification, and Lip Synchronization / 8：
Applications in Speaker Recognition / 8.1：
Access / 8.1.1：
Authentication / 8.1.2：
Monitoring / 8.1.3：
Fraud Prevention / 8.1.4：
Forensics / 8.1.5：
Personal Services / 8.1.6：
Applications in Language Identification / 8.2：
Communications Monitoring / 8.2.1：
Public Information Systems / 8.2.3：
Applications in Automatic Lip Synching / 8.3：
Animation / 8.3.1：
Glossary
About the Author
Index
Preface
About Speech / 1：
Introduction / 1.1：
12.

図書
図書
12. Advanced digital signal processing and noise reduction. 2nd ed
Saeed V. Vaseghi
出版情報: Chichester : John Wiley & Sons, c2000  xxiii, 473 p. ; 25 cm
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目次情報: 続きを見る
Preface
Symbols
Abbreviations
Introduction / 1：
Signals and Information / 1.1：
Signal Processing Methods / 1.2：
Transform-based Signal Processing / 1.2.1：
Model-based Signal Processing / 1.2.2：
Bayesian Signal Processing / 1.2.3：
Neural Networks / 1.2.4：
Applications of Digital Signal Processing / 1.3：
Adaptive Noise Cancellation / 1.3.1：
Adaptive Noise Reduction / 1.3.2：
Blind Channel Equalisation / 1.3.3：
Signal Classification and Pattern Recognition / 1.3.4：
Linear Prediction Modelling of Speech / 1.3.5：
Digital Coding of Audio Signals / 1.3.6：
Detection of Signals in Noise / 1.3.7：
Directional Reception of Waves: Beam-forming / 1.3.8：
Dolby Noise Reduction / 1.3.9：
Radar Signal Processing: Doppler Frequency Shift / 1.3.10：
Sampling and Analogue-to-digital Conversion / 1.4：
Sampling and Reconstruction of Analogue Signals / 1.4.1：
Quantisation / 1.4.2：
Bibliography
Noise and Distortion / 2：
White Noise / 2.1：
Band-limited White Noise / 2.2.1：
Coloured Noise / 2.3：
Impulsive Noise / 2.4：
Transient Noise Pulses / 2.5：
Thermal Noise / 2.6：
Shot Noise / 2.7：
Electromagnetic Noise / 2.8：
Channel Distortions / 2.9：
Echo and Multipath Reflections / 2.10：
Modelling Noise / 2.11：
Additive White Gaussian Noise Model / 2.11.1：
Hidden Markov Model for Noise / 2.11.2：
Probability and Information Models / 3：
Random Signals / 3.1：
Random and Stochastic Processes / 3.2.1：
The Space of a Random Process / 3.2.2：
Probability Models / 3.3：
Probability and Random Variables / 3.3.1：
Probability Mass Function / 3.3.2：
Probability Density Function / 3.3.3：
Probability Dgnsity Functions of Random Processes / 3.3.4：
Information Models / 3.4：
Entropy / 3.4.1：
Mutual Information / 3.4.2：
Entropy Coding / 3.4.3：
Stationary and Nonstationary Random Processes / 3.5：
Strict-sense Stationary Processes / 3.5.1：
Wide-sense Stationary Processes / 3.5.2：
Nonstationary Processes / 3.5.3：
Statistics (Expected Values) of a Random Process / 3.6：
The Mean Value / 3.6.1：
Autocorrelation / 3.6.2：
Autocovariance / 3.6.3：
Power Spectral Density / 3.6.4：
Joint Statistical Averages of Two Random Processes / 3.6.5：
Cross-correlation and Cross-covariance / 3.6.6：
Cross-power Spectral Density and Coherence / 3.6.7：
Ergodic Processes and Time-averaged Statistics / 3.6.8：
Mean-ergodic Processes / 3.6.9：
Correlation-ergodic Processes / 3.6.10：
Some Useful Classes of Random Processes / 3.7：
Gaussian (Normal) Process / 3.7.1：
Multivariate Gaussian Process / 3.7.2：
Mixture Gaussian Process / 3.7:3：
A Binary-state Gaussian Process / 3.7.4：
Poisson Process / 3.7.5：
Poisson-Gaussian Model for Clutters and Impulsive Noise / 3.7.6：
Markov Processes / 3.7.8：
Markov Chain Processes / 3.7.9：
Gamma Probability Distribution / 3.7.10：
Rayleigh Probability Distribution / 3.7.11：
Laplacian Probability Distribution / 3.7.12：
Transformation of a Random Process / 3.8：
Monotonic Transformation of Random Processes / 3.8.1：
Many-to-one Mapping of Random Signals / 3.8.2：
Summary / 3.9：
Bayesian Inference / 4：
Bayesian Estimation Theory: Basic Definitions / 4.1：
Dynamic and Probability Models in Estimation / 4.1.1：
Parameter Space and Signal Space / 4.1.2：
Parameter Estimation and Signal Restoration / 4.1.3：
Performance Measures and Desirable Properties of Estimators / 4.1.4：
Prior and Posterior Spaces and Distributions / 4.1.5：
Bayesian Estimation / 4.2：
Maximum a Posteriori Estimation / 4.2.1：
Maximum-likelihood Estimation / 4.2.2：
Minimum Mean Square Error Estimation / 4.2.3：
Minimum Mean Absolute Value of Error Estimation / 4.2.4：
Equivalence of the MAP, ML, MMSE and MAVE for Gaussian Processes with Uniform Distributed Parameters / 4.2.5：
The Influence of the Prior on Estimation Bias and Variance / 4.2.6：
The Relative Importance of the Prior and the Observation / 4.2.7：
The Estimate-Maximise Method / 4.3：
Convergence of the EM Algorithm / 4.3.1：
Cramer-Rao Bound on the Minimum Estimator Variance / 4.4：
Cramer-Rao Bound for Random Parameters / 4.4.1：
Cramer-Rao Bound for a Vector Parameter / 4.4.2：
Design of Gaussian Mixture Models / 4.5：
EM Estimation of Gaussian Mixture Model / 4.5.1：
Bayesian Classification / 4.6：
Binary Classification / 4.6.1：
Classification Error / 4.6.2：
Bayesian Classification of Discrete-valued Parameters / 4.6.3：
Maximum a Posteriori Classification / 4.6.4：
Maximum-likelihood Classification / 4.6.5：
Minimum Mean Square Error Classification / 4.6.6：
Bayesian Classification of Finite State Processes / 4.6.7：
Bayesian Estimation of the Most Likely State Sequence / 4.6.8：
Modelling the Space of a Random Process / 4.7：
Vector Quantisation of a Random Process / 4.7.1：
Vector Quantisation using Gaussian Models / 4.7.2：
Design of a Vector Quantiser: K-means Clustering / 4.7.3：
Hidden Markov Models / 4.8：
Statistical Models for Nonstationary Processes / 5.1：
Comparison of Markov and Hidden Markov Models / 5.2：
A Physical Interpretation: HMMs of Speech / 5.2.2：
Hidden Markov Model as a Bayesian Model / 5.2.3：
Parameters of a Hidden Markov Model / 5.2.4：
State Observation Probability Models / 5.2.5：
State Transition Probabilities / 5.2.6：
State-Time Trellis Diagram / 5.2.7：
Training Hidden Markov Models / 5.3：
Forward-Backward Probability Computation / 5.3.1：
Baum-Welch Model Re-estimation / 5.3.2：
Training HMMs with Discrete Density Observation Models / 5.3.3：
HMMs with Continuous Density Observation Models / 5.3.4：
HMMs with Gaussian Mixture pdfs / 5.3.5：
Decoding of Signals using Hidden Markov Models / 5.4：
Viterbi Decoding Algorithm / 5.4.1：
HMMs in DNA and Protein Sequence Modelling / 5.5：
HMMs for Modelling Speech and Noise / 5.6：
Modelling Speech with HMMs / 5.6.1：
HMM-based Estimation of Signals in Noise / 5.6.2：
Signal and Noise Model Combination and Decomposition / 5.6.3：
Hidden Markov Model Combination / 5.6.4：
Decomposition of State Sequences of Signal and Noise / 5.6.5：
HMM-based Wiener Filters / 5.6.6：
Modelling Noise Characteristics / 5.6.7：
Least Square Error Filters / 5.7：
Least Square Error Estimation: Wiener Filters / 6.1：
Block-data Formulation of the Wiener Filter / 6.2：
QR Decomposition of the Least Square Error Equation / 6.2.1：
Interpretation of Wiener Filters as Projections in Vector Space / 6.3：
Analysis of the Least Mean Square Error Signal / 6.4：
Formulation of Wiener Filters in the Frequency Domain / 6.5：
Some Applications of Wiener Filters / 6.6：
Wiener Filters for Additive Noise Reduction / 6.6.1：
Wiener Filters and Separability of Signal and Noise / 6.6.2：
The Square-root Wiener Filter / 6.6.3：
Wiener Channel Equaliser / 6.6.4：
Time-alignment of Signals in Multichannel/Multisensor Systems / 6.6.5：
Implementation of Wiener Filters / 6.7：
The Choice of Wiener Filter Order / 6.7.1：
Improvements to Wiener Filters / 6.7.2：
Adaptive Filters / 6.8：
State-space Kalman Filters / 7.1：
Derivation of the Kalman Filter Algorithm / 7.2.1：
Sample-adaptive Filters / 7.3：
Recursive Least Square Adaptive Filters / 7.4：
The Matrix Inversion Lemma / 7.4.1：
Recursive Time-update of Filter Coefficients / 7.4.2：
The Steepest-descent Method / 7.5：
Convergence Rate / 7.5.1：
Vector-valued Adaptation Step Size / 7.5.2：
The LMS Filter / 7.6：
Leaky LMS Algorithm / 7.6.1：
Normalised LMS Algorithm / 7.6.2：
Linear Prediction Models / 7.7：
Linear Prediction Coding / 8.1：
Frequency Response of LP Models / 8.1.1：
Calculation of Predictor Coefficients / 8.1.2：
Effect of Estimation of Correlation Function on LP Model Solution / 8.1.3：
The Inverse Filter: Spectral Whitening / 8.1.4：
The Prediction Error Signal / 8.1.5：
Forward, Backward and Lattice Predictors / 8.2：
Augmented Equations for Forward and Backward Predictors / 8.2.1：
Levinson-Durbin Recursive Solution / 8.2.2：
Lattice Predictors / 8.2.3：
Alternative Formulations of Least Square Error Prediction / 8.2.4：
Predictor Model Order Selection / 8.2.5：
Short- and Long-term Predictors / 8.3：
MAP Estimation of Predictor Coefficients / 8.4：
Probability Density Function of Predictor Output / 8.4.1：
Using the Prior pdf of the Predictor Coefficients / 8.4.2：
Formant-tracking LP Models / 8.5：
Sub-band Linear Prediction Model / 8.6：
Signal Restoration using Linear Prediction Models / 8.7：
Frequency-domain Signal Restoration using Prediction Models / 8.7.1：
Implementation of Sub-band Linear Prediction Wiener Filters / 8.7.2：
Power Spectrum and Correlation / 8.8：
Fourier Series: Representation of Periodic Signals / 9.1：
Fourier Transform: Representation of Aperiodic Signals / 9.3：
Discrete Fourier Transform / 9.3.1：
Time/Frequency Resolutions, the Uncertainty Principle / 9.3.2：
Energy-spectral Density and Power-spectral Density / 9.3.3：
Nonparametric Power Spectrum Estimation / 9.4：
The Mean and Variance of Periodograms / 9.4.1：
Averaging Periodograms (Bartlett Method) / 9.4.2：
Welch Method: Averaging Periodograms from Overlapped and Windowed Segments / 9.4.3：
Blackman-Tukey Method / 9.4.4：
Power Spectrum Estimation from Autocorrelation of Overlapped Segments / 9.4.5：
Model-based Power Spectrum Estimation / 9.5：
Maximum-entropy Spectral Estimation / 9.5.1：
Autoregressive Power Spectrum Estimation / 9.5.2：
Moving-average Power Spectrum Estimation / 9.5.3：
Autoregressive Moving-average Power Spectrum Estimation / 9.5.4：
High-resolution Spectral Estimation Based on Subspace Eigenanalysis / 9.6：
Pisarenko Harmonic Decomposition / 9.6.1：
Multiple Signal Classification Spectral Estimation / 9.6.2：
Estimation of Signal Parameters via Rotational Invariance Techniques / 9.6.3：
Interpolation / 9.7：
Interpolation of a Sampled Signal / 10.1：
Digital Interpolation by a Factor of I / 10.1.2：
Interpolation of a Sequence of Lost Samples / 10.1.3：
The Factors that affect Interpolation Accuracy / 10.1.4：
Polynomial Interpolation / 10.2：
Lagrange Polynomial Interpolation / 10.2.1：
Newton Polynomial Interpolation / 10.2.2：
Hermite Polynomial Interpolation / 10.2.3：
Cubic Spline Interpolation / 10.2.4：
Model-based Interpolation / 10.3：
Maximum a Posteriori Interpolation / 10.3.1：
Least Square Error Autoregressive Interpolation / 10.3.2：
Interpolation based on a Short-term Prediction Model / 10.3.3：
Interpolation based on Long- and Short-term Correlations / 10.3.4：
LSAR Interpolation Error / 10.3.5：
Interpolation in Frequency-Time Domain / 10.3.6：
Interpolation using Adaptive Codebooks / 10.3.7：
Interpolation through Signal Substitution / 10.3.8：
Spectral Amplitude Estimation / 10.4：
Spectral Representation of Noisy Signals / 11.1：
Vector Representation of the Spectrum of Noisy Signals / 11.1.2：
Spectral Subtraction / 11.2：
Power Spectrum Subtraction / 11.2.1：
Magnitude Spectrum Subtraction / 11.2.2：
Spectral Subtraction Filter: Relation to Wiener Filters / 11.2.3：
Processing Distortions / 11.2.4：
Effect of Spectral Subtraction on Signal Distribution / 11.2.5：
Reducing the Noise Variance / 11.2.6：
Filtering Out the Processing Distortions / 11.2.7：
Nonlinear Spectra] Subtraction / 11.2.8：
Implementation of Spectral Subtraction / 11.2.9：
Bayesian MMSE Spectral Amplitude Estimation / 11.3：
Application to Speech Restoration and Recognition / 11.4：
Autocorrelation and Power Spectrum of Impulsive Noise / 11.5：
Statistical Models for Impulsive Noise / 12.2：
Bernoulli-Gaussian Model of Impulsive Noise / 12.2.1：
Poisson-Gaussian Model of Impulsive Noise / 12.2.2：
A Binary-state Model of Impulsive Noise / 12.2.3：
Signal-to-impulsive-noise Ratio / 12.2.4：
Median Filters / 12.3：
Impulsive Noise Removal using Linear Prediction Models / 12.4：
Impulsive Noise Detection / 12.4.1：
Analysis of Improvement in Noise Detectability / 12.4.2：
Two-sided Predictor for Impulsive Noise Detection / 12.4.3：
Interpolation of Discarded Samples / 12.4.4：
Robust Parameter Estimation / 12.5：
Restoration of Archived Gramophone Records / 12.6：
Transient Noise Waveforms / 12.7：
Transient Noise Pulse Models / 13.2：
Noise Pulse Templates / 13.2.1：
Autoregressive Model of Transient Noise Pulses / 13.2.2：
Hidden Markov Model of a Noise Pulse Process / 13.2.3：
Detection of Noise Pulses / 13.3：
Matched Filter for Noise Pulse Detection / 13.3.1：
Noise Detection based on Inverse Filtering / 13.3.2：
Noise Detection based on HMM / 13.3.3：
Removal of Noise Pulse Distortions / 13.4：
Adaptive Subtraction of Noise Pulses / 13.4.1：
AR-based Restoration of Signals Distorted by Noise Pulses / 13.4.2：
Echo Cancellation / 13.5：
Introduction: Acoustic and Hybrid Echoes / 14.1：
Telephone Line Hybrid Echo / 14.2：
Echo: the Sources of Delay in Telephone Networks / 14.2.1：
Echo Return Loss / 14.2.2：
Hybrid Echo Suppression / 14.3：
Adaptive Echo Cancellation / 14.4：
Echo Canceller Adaptation Methods / 14.4.1：
Convergence of Line Echo Canceller / 14.4.2：
Echo Cancellation for Digital Data Transmission / 14.4.3：
Acoustic Echo / 14.5：
Sub-band Acoustic Echo Cancellation / 14.6：
Multiple-input Multiple-output Echo Cancellation / 14.7：
Stereophonic Echo Cancellation Systems / 14.7.1：
Channel Equalisation and Blind Deconvolution / 14.8：
The Ideal Inverse Channel Filter / 15.1：
Equalisation Error, Convolutional Noise / 15.1.2：
Blind Equalisation / 15.1.3：
Minimum- and Maximum-phase Channels / 15.1.4：
Wiener Equaliser / 15.1.5：
Blind Equalisation using the Channel Input Power Spectrum / 15.2：
Homomorphic Equalisation / 15.2.1：
Homomorphic Equalisation using a Bank of High-pass Filters / 15.2.2：
Equalisation based on Linear Prediction Models / 15.3：
Blind Equalisation through Model Factorisation / 15.3.1：
Bayesian Blind Deconvolution and Equalisation / 15.4：
Conditional Mean Channel Estimation / 15.4.1：
Maximum-likelihood Channel Estimation / 15.4.2：
Maximum a Posteriori Channel Estimation / 15.4.3：
Channel Equalisation based on Hidden Markov Models / 15.4.4：
MAP Channel Estimate based on HMMs / 15.4.5：
Implementations of HMM-based Deconvolution / 15.4.6：
Blind Equalisation for Digital Communications Channels / 15.5：
LMS Blind Equalisation / 15.5.1：
Equalisation of a Binary Digital Channel / 15.5.2：
Equalisation based on Higher-order Statistics / 15.6：
Higher-order Moments, Cumulants and Spectra / 15.6.1：
Higher-order Spectra of Linear Time-invariant Systems / 15.6.2：
Blind Equalisation based on Higher-order Cepstra / 15.6.3：
Speech Enhancement in Noise / 15.7：
Single-input Speech-enhancement Methods / 16.1：
An Overview of a Speech-enhancement System / 16.2.1：
Wiener Filter for De-noising Speech / 16.2.2：
Spectra] Subtraction of Noise / 16.2.3：
Bayesian MMSE Speech Enhancement / 16.2.4：
Kalman Filter / 16.2.5：
Speech Enhancement via LP Model Reconstruction / 16.2.6：
Multiple-input Speech-enhancement Methods / 16.3：
Beam-forming with Microphone Arrays / 16.3.1：
Speech Distortion Measurements / 16.4：
Noise in Wireless Communications / 17：
Introduction to Cellular Communications / 17.1：
Noise, Capacity and Spectral Efficiency / 17.2：
Communications Signal Processing in Mobile Systems / 17.3：
Noise and Distortion in Mobile Communications Systems / 17.4：
Multipath Propagation of Electromagnetic Signals / 17.4.1：
Rake Receivers for Multipath Signals / 17.4.2：
Signal Fading in Mobile Communications Systems / 17.4.3：
Large-scale Signal Fading / 17.4.4：
Small-scale Fast Signal Fading / 17.4.5：
Smart Antennas / 17.5：
Switched and Adaptive Smart Antennas / 17.5.1：
Space-Time Signal Processing - Diversity Schemes / 17.5.2：
Index / 17.6：
Preface
Symbols
Abbreviations
13.

図書
図書
13. Applied neural networks for signal processing
Fa-Long Luo and Rolf Unbehauen
出版情報: Cambridge ; New York : Cambridge University Press, 1997  xi, 367 p. ; 26 cm
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14.

図書
図書
14. Selected papers on coherent optical processing (hard ; soft)
Francis T.S. Yu, Shizhuo Yin, editors
出版情報: Bellingham, Wash., USA : SPIE Optical Engineering Press, c1992  xiv, 696 p. ; 28 cm
シリーズ名: SPIE milestone series / Brian J. Thompson, general editor ; v. MS 52
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15.

図書
図書
15. VLSI signal processing, VI
edited by Ludwig D. J. Eggermont... [et al.]
出版情報: New York, NY : Institute of Electrical and Electronics Engineers, c1993  xv, 527 p. ; 23 cm
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16.

図書
図書
16. Introduction to random processes in engineering
A.V. Balakrishnan
出版情報: New York : Wiley, c1995  xiii, 402 p. ; 25 cm
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目次情報: 続きを見る
Preface
Review
Random Processes: Basic Concepts, Properties / 1：
Stationary Random Processes: Covariance and Spectrum / 2：
Response of Linear Systems to Random Inputs: Discrete-Time Models / 3：
Response of Linear Systems to Random Inputs: Continuous-Time Models / 4：
Time Averages and the Ergodic Principle / 5：
Sampling Principle and Interpolation / 6：
Simulation of Random Processes / 7：
Random Fields / 8：
Linear Filtering Theory / 9：
Index
Preface
Review
Random Processes: Basic Concepts, Properties / 1：
17.

図書
図書
17. Robustness in automatic speech recognition : fundamentals and applications
Jean-Claude Junqua, Jean-Paul Haton ; foreword by Hisashi Wakita
出版情報: Boston : Kluwer Academic Publishers, c1996  xxx, 440 p. ; 25 cm
シリーズ名: The Kluwer international series in engineering and computer science ; SECS 341
The Kluwer international series in engineering and computer science ; VLSI, computer architecture, and digital signal processing
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18.

図書
図書
18. Time-frequency analysis
Leon Cohen
出版情報: Englewood Cliffs, N.J : Prentice Hall PTR, c1995  xv, 299 p. ; 24 cm
シリーズ名: Prentice Hall signal processing series
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目次情報: 続きを見る
The Time and Frequency Description of Signals / 1：
Instantaneous Frequency and the Complex Signal / 2：
The Uncertainty Principle / 3：
Densities and Characteristic Functions / 4：
The Need for Time-Frequency Analysis / 5：
Time-Frequency Distributions: Fundamental Ideas / 6：
The Short-Time Fourier Transform / 7：
The Wigner Distribution / 8：
General Approach and the Kernel Method / 9：
Characteristic Function Operator Method / 10：
Kernel Design for Reduced Interference / 11：
Some Distributions / 12：
Further Developments / 13：
Positive Distributions Satisfying the Marginals / 14：
The Representation of Signals / 15：
Density of a Single Variable / 16：
Joint Representations for Arbitrary Variables / 17：
Scale / 18：
Joint Scale Representations / 19：
Bibliography
Index
The Time and Frequency Description of Signals / 1：
Instantaneous Frequency and the Complex Signal / 2：
The Uncertainty Principle / 3：
19.

図書
図書
19. Speech (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway, NJ : IEEE Service Center, c1995  875 p. ; 28 cm
シリーズ名: ICASSP-95 : The 1995 International Conference on Acoustics, Speech, and Signal Processing : May 9-12, 1995, Westin Hotel, Detroit, Michigan U.S.A. / sponsored by The Signal Processing Society of The Institute of Electrical and Electronics Engineers ; Vol. 1
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20.

図書
図書
20. Digital signal processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway, NJ : IEEE Service Center, c1995  p. 877-1527 ; 28 cm
シリーズ名: ICASSP-95 : The 1995 International Conference on Acoustics, Speech, and Signal Processing : May 9-12, 1995, Westin Hotel, Detroit, Michigan U.S.A. / sponsored by The Signal Processing Society of The Institute of Electrical and Electronics Engineers ; Vol. 2
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21.

図書
図書
21. Statistical signal and array processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway, NJ : IEEE Service Center, c1995  p. 1529-2119 ; 28 cm
シリーズ名: ICASSP-95 : The 1995 International Conference on Acoustics, Speech, and Signal Processing : May 9-12, 1995, Westin Hotel, Detroit, Michigan U.S.A. / sponsored by The Signal Processing Society of The Institute of Electrical and Electronics Engineers ; Vol. 3
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22.

図書
図書
22. Image and multi-dimensional signal processing ; Signal processing applications development (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway, NJ : IEEE Service Center, c1995  p. 2121-2762 ; 28 cm
シリーズ名: ICASSP-95 : The 1995 International Conference on Acoustics, Speech, and Signal Processing : May 9-12, 1995, Westin Hotel, Detroit, Michigan U.S.A. / sponsored by The Signal Processing Society of The Institute of Electrical and Electronics Engineers ; Vol. 4
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23.

図書
図書
23. Special sessions ; Audio and electroacoustics ; Underwater acoustic signal processing ; Very large scale integration for signal processing ; Neural networks for signal processing ; Joint sessions (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway, NJ : IEEE Service Center, c1995  p. 2763-3662 ; 28 cm
シリーズ名: ICASSP-95 : The 1995 International Conference on Acoustics, Speech, and Signal Processing : May 9-12, 1995, Westin Hotel, Detroit, Michigan U.S.A. / sponsored by The Signal Processing Society of The Institute of Electrical and Electronics Engineers ; Vol. 5
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24.

図書
図書
24. Genetic algorithms for control and signal processing
Kim F. Man ... [et al.]
出版情報: London : Springer, c1997  xx, 211 p. ; 24 cm
シリーズ名: Advances in industrial control
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25.

図書
図書
25. Signal processing for control (Germany ; U.S.)
edited by K. Godfrey, P. Jones
出版情報: Berlin ; Tokyo : Springer-Verlag, c1986  xviii, 422 p. ; 24 cm
シリーズ名: Lecture notes in control and information sciences ; 79
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26.

図書
図書
26. Geophysical signal processing
Enders A. Robinson, Tariq S. Durrani, with a chapter by Lloyd G. Peardon
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1986  xi, 481 p. ; 24 cm
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27.

図書
図書
27. Optimal filtering
Brian D. O. Anderson, John B. Moore
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1979  x, 357 p. ; 24 cm
シリーズ名: Prentice-Hall information and system sciences series
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28.

図書
図書
28. ICASSP 91 : 1991 International Conference on Acoustics, Speech, and Signal Processing, May 14-17, 1991, the Sheraton Centre Hotel & Towers, Toronto, Ontario, Canada (v. 1 : casebound - v. 5 : softbound)
sponsored by The Institute of Electrical and Electronics Engineers, Acoustics, Speech and Signal Processing Society
出版情報: New York : IEEE, c1991  5 v. ; 29 cm
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29.

図書
図書
29. Optical signal processing
Anthony VanderLugt
出版情報: New York : J. Wiley, c1992  xxi, 604 p. ; 24 cm
シリーズ名: Wiley series in pure and applied optics
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目次情報: 続きを見る
Basic Signal Parameters / Chapter 1：
Introduction / 1.1：
Characterization of a General Signal / 1.2：
By Bandwidth / 1.2.1：
By Time / 1.2.2：
By Sample Interval / 1.2.3：
By Number of Samples / 1.2.4：
By Number of Amplitude Levels or Signal Features / 1.2.5：
By Degrees of Freedom / 1.2.6：
The Sample Function / 1.3：
Examples of Signals / 1.4：
Spatial Signals / 1.5：
Geometrical Optics / Chapter 2：
Refractive Index and Optical Path / 2.1：
Basic Laws of Geometrical Optics / 2.3：
Law of Reflection / 2.3.1：
Law of Refraction / 2.3.2：
Fermat's Principle / 2.3.3：
The Critical Angle / 2.3.4：
Refraction by Prisms / 2.4：
Minimum Deviation Angle / 2.4.1：
Dispersion by a Prism / 2.4.2：
Beam Magnification by a Prism / 2.4.3：
Counter-Rotating Prisms / 2.4.4：
The Wobble Plate / 2.4.5：
The Lens Formulas / 2.5：
The Sign Convention / 2.5.1：
Refraction at a Curved Surface / 2.5.2：
The Refraction Equation for Combined Surfaces / 2.5.3：
The Condenser Lens Configuration / 2.5.4：
The Collimating Lens Configuration / 2.5.5：
Principal Planes / 2.5.6：
Thin-Lens Systems / 2.5.7：
Afocal or Telescopic Configurations / 2.5.8：
The General Imaging Condition / 2.6：
Ray Tracing / 2.6.1：
Lateral Magnification / 2.6.2：
The Principal Pupil Ray / 2.6.3：
The Optical Invariant / 2.7：
Magnification Revisited / 2.7.1：
Spatial Resolution / 2.7.2：
Space Bandwidth Product / 2.7.3：
Matching the Information Capacity of System Components / 2.7.4：
Classification of Lenses and Systems / 2.8：
The Coddington Shape Factor / 2.8.1：
The Coddington Position Factor / 2.8.2：
Aberrations / 2.9：
Spherical Aberration / 2.9.1：
Coma / 2.9.2：
Astigmatism / 2.9.3：
Curvature of Field / 2.9.4：
Distortion / 2.9.5：
Splitting the Lens / 2.9.6：
Physical Optics / Chapter 3：
The Fresnel Transform / 3.1：
Convolution and Impulse Response / 3.2.1：
Diffraction by Two Sources / 3.2.2：
Fresnel Zones, Chirp Functions, and Holography / 3.2.3：
The Fresnel Transform of a Slit / 3.2.4：
The Fourier Transform / 3.3：
The Fourier Transform of a Periodic Function / 3.3.1：
The Fourier Transform for Nonperiodic Signals / 3.3.2：
The Fourier Transform in Optics / 3.3.3：
Examples of Fourier Transforms / 3.4：
Fourier Transforms of Aperture Functions / 3.4.1：
A Partitioned Aperture Function / 3.4.2：
A Periodic Signal / 3.4.3：
The Inverse Fourier Transform / 3.5：
Bandlimited Signals / 3.5.1：
Rayleigh-Resolution Criterion / 3.5.2：
Abbe's Resolution Criterion / 3.5.3：
The Sample Function, Sampling Theorem, and Decomposition / 3.5.4：
Extended Fourier-Transform Analysis / 3.6：
The Basic Elements of an Optical System / 3.6.1：
Operational Notation / 3.6.2：
A Basic Optical System / 3.6.3：
Cascaded Optical Systems / 3.6.4：
The Scale of the Fourier Transform / 3.6.5：
Maximum Information Capacity and Optimum Packing Density / 3.7：
Maximum Information Capacity / 3.7.1：
Optimum Packing Density / 3.7.2：
Convergent Illumination / 3.7.3：
The Chirp-Z Transform / 3.7.4：
System Coherence / 3.8：
Spatial Coherence / 3.8.1：
Temporal Coherence / 3.8.2：
Spatial and Temporal Coherence / 3.8.3：
Spectrum Analysis / Chapter 4：
Light Sources / 4.1：
Spatial Light Modulators / 4.3：
Light Valve Spatial Light Modulators / 4.3.1：
Optically Addressed Electro-Optic Spatial Light Modulators / 4.3.2：
Liquid-Crystal Spatial Light Modulators / 4.3.3：
Magneto-Optic Spatial Light Modulators / 4.3.4：
The Detection Process in the Fourier Domain / 4.4：
A Special Photodetector Array / 4.4.1：
Spectral Responsivity and Typical Power Levels / 4.4.2：
The Number of Photodetector Elements / 4.4.3：
Array Geometry / 4.4.4：
Readout Rate / 4.4.5：
Blooming and Electrical Crosstalk / 4.4.6：
Linearity and Uniformity of Response / 4.4.7：
System Performance Parameters / 4.5：
Total Spatial Frequency Bandwidth / 4.5.1：
Sidelobe Control and Crosstalk / 4.5.2：
Frequency Resolution/Photodetector Spacing / 4.5.3：
Array Spacing and Number of Photodetector Elements / 4.5.4：
Dynamic Range / 4.6：
Intermodulation Products / 4.6.1：
Signal-to-Noise Ratio and the Minimum Signal Level / 4.6.2：
Integration Time/Bandwidth / 4.6.3：
Example / 4.6.4：
Quantum Noise Limit / 4.6.5：
Raster-Format Spectrum Analyzer / 4.7：
The Recording Format / 4.7.1：
The Two-Dimensional Spectrum Analyzer / 4.7.2：
Illustration of Raster-Format Spectra / 4.7.3：
Summary of the Main Design Concepts / 4.8：
Spatial Filtering / Chapter 5：
Some Fundamentals of Signal Processing / 5.1：
Linear, Space-Invariant Systems / 5.2.1：
Parseval's Theorem / 5.2.2：
Correlation / 5.2.3：
Input/Output Spectral Densities / 5.2.4：
Matched Filtering / 5.2.5：
Inverse Filtering / 5.2.6：
Spatial Filters / 5.3：
Binary Spatial Filters / 5.4：
Binary Filters for Signal Detection or Excision / 5.4.1：
Other Applications of Binary Filters / 5.4.2：
Magnitude Spatial Filters / 5.5：
Phase Spatial Filters / 5.6：
Real-Valued Spatial Filters / 5.7：
Experimental Examples / 5.8：
The Spatial Carrier Frequency Filter / 5.9：
Interferometric Methods for Constructing Filters / 5.10：
Limitations of the Mach-Zehnder Interferometer / 5.10.1：
The Rayleigh Interferometer / 5.10.2：
The Minimum-Aperture Interferometer / 5.10.3：
Information Processing / 5.11：
Arbitrary Reference Function / 5.12：
Bandwidth Considerations / 5.13：
Multiplexed Filters / 5.14：
Computer Generated Filters / 5.15：
Reference Function Optical Processors / 5.16：
Spatial Filtering Systems / Chapter 6：
Optical Signal Processor and Filter Generator / 6.1：
The Light Source / 6.2.1：
The Spatial Light Modulator / 6.2.2：
The Fourier Transform Lens / 6.2.3：
The Filter Plane / 6.2.4：
The Imaging Lens / 6.2.5：
The Readout Module / 6.3：
The Thresholding Operation / 6.3.1：
The Importance of Nonoverlapping Signals / 6.3.2：
On-Chip Processing / 6.3.3：
Constant False-Alarm Rate / 6.3.4：
The Reference-to-Signal-Beam Ratio / 6.4：
Orientation and Scale-Searching Operations / 6.5：
The Orientation Search / 6.5.1：
The Scale Search / 6.5.2：
Methods for Handling Nonuniform Noise Spectral Densities / 6.6：
Dual Frequency-Plane Processing / 6.6.1：
Transposed Processing for Adaptive Filtering / 6.6.2：
Other Applications for Optical Spatial Filtering / 6.7：
Target Recognition / 6.7.1：
Motion Analysis / 6.7.2：
Frame Alignment and Stereo Compilation / 6.7.3：
The Effects of Small Displacements of Spatial Filters / 6.8：
Lateral Displacement / 6.8.1：
Longitudinal Displacements / 6.8.2：
Random Motion of the Filter / 6.8.3：
Acousto-Optic Devices / Chapter 7：
Acousto-Optic Cell Spatial Light Modulators / 7.1：
Raman-Nath Mode / 7.2.1：
The Bragg Mode / 7.2.2：
Diffraction Angles, Spatial Frequencies, and Temporal Frequencies / 7.2.3：
The Time Bandwidth Product / 7.2.4：
Dynamic Transfer Relationships / 7.3：
Diffraction Efficiency / 7.3.1：
Input/Output Relationships / 7.3.2：
Time Delays and Notation / 7.4：
Phase-Modulation Notation / 7.5：
Sign Notation / 7.6：
Conjugate Relationships / 7.7：
Visualization of the Acousto-Optic Interaction / 7.8：
Applications of Acousto-Optic Devices / 7.9：
Acousto-Optic Modulation / 7.9.1：
Acousto-Optic Beam Deflectors / 7.9.2：
Acousto-Optic Power Spectrum Analyzers / Chapter 8：
A Basic Spectrum Analyzer / 8.1：
The Illumination Subsystem / 8.2.1：
A Raman-Nath-Mode Spectrum Analyzer / 8.2.2：
A Bragg-Mode Spectrum Analyzer / 8.2.3：
The Generalization to Arbitrary Signals / 8.2.4：
Aperture Weighting for Sidelobe Control / 8.3：
Resolution / 8.4：
Dynamic Range and Signal-to-Noise Ratio / 8.5：
Spur-Free Dynamic Range / 8.6：
Intermodulation Products Due to Acousto-Optic Cells / 8.6.1：
Signal Compression / 8.6.2：
Scattered Light / 8.6.3：
Photodetector Geometric Considerations / 8.7：
The Signal-to-Noise Ratio / 8.8：
Radiometers / 8.10：
Heterodyne Systems / 8.11：
The Interference Between Two Waves / 9.1：
Spatial Interference / 9.2.1：
Temporal and Spatial Interference / 9.2.2：
Overlapping Waves and Photodetector Size / 9.3：
Optimum Photodetector Size for Plane-Wave Interference / 9.3.1：
Optimum Photodetector Size for a Two-Dimensional Chirp / 9.3.2：
Optimum Photodetector Size for a One-Dimensional Chirp / 9.3.3：
Optimum Photodetector Size for a General Signal / 9.3.4：
The Optical Radio / 9.4：
Direct Detection / 9.4.1：
Heterodyne Detection / 9.4.2：
A Generalized Heterodyne System / 9.5：
Heterodyne Spectrum Analysis / Chapter 10：
Basic Theory / 10.1：
Spatial and Temporal Frequencies: The Mixed Transform / 10.3：
The cw Signal / 10.3.1：
A Short Pulse / 10.3.2：
The Evolving Pulse / 10.3.3：
The Distributed Local Oscillator / 10.4：
The Ideal Reference Signal / 10.4.1：
The Mixed Transform of the Reference Signal / 10.4.2：
Photodetector Geometry and Bandwidth / 10.5：
The Bandpass Filter Shape / 10.5.1：
Crosstalk / 10.5.2：
Resolution, Accuracy, and Photodetector Size / 10.5.3：
Temporal Frequencies of the Reference Bias Term / 10.6：
Comparison of the Heterodyne and Power Spectrum Analyzer Performance / 10.7：
Both Systems Thermal-Noise Limited / 10.8.1：
Both Systems Shot-Noise Limited / 10.8.2：
Power Spectrum Analyzer Thermal-Noise Limited; Heterodyne Spectrum Analyzer Shot-Noise Limited / 10.8.3：
Power Spectrum Analyzer Using a CCD Array / 10.8.4：
Hybrid Heterodyne Spectrum Analyzer / 10.9：
Decimated Arrays and Cross-Spectrum Analysis / Chapter 11：
Background for the Heterodyne Spectrum Analyzer / 11.1：
Photodetector Geometry and Detection Scheme / 11.3：
The Reference and Scanning Functions / 11.4：
Singal-to-Noise Ratio and Dynamic Range / 11.5：
Improved Reference Waveform / 11.6：
The Cross-Spectrum Analyzer / 11.7：
Cross-Spectrum Analysis with Spatial Heterodyning / 11.7.1：
Cross-Spectrum Analysis with Temporal Heterodyning / 11.7.2：
The Heterodyne Transform and Signal Excision / Chapter 12：
The Heterodyne Transform / 12.1：
The Temporal Frequency Range of the Baseband Terms / 12.3：
Probing Arbitrary Three-Dimensional Fields / 12.4：
Signal Excision / 12.5：
Arbitrary Filter Function / 12.6：
Space-Integrating Correlators / Chapter 13：
Reference-Function Correlators / 13.1：
Real-Valued Impulse Responses / 13.2.1：
Complex-Valued Impulse Responses / 13.2.2：
A Wavefront View of Matched Filtering / 13.2.3：
The Photodetector Bandwidth / 13.2.4：
Correlation in the Presence of Doppler Frequency Shifts / 13.2.5：
Programmable Matched Filter / 13.2.6：
Multichannel Operation / 13.3：
Heterodyne/Homodyne Detection / 13.4：
Homodyne Detection in the Fourier Domain / 13.5：
Carrier Frequency Requirements / 13.6：
Illumination Requirements / 13.8：
Integrate and Dump / 13.9：
Some More Configurations / 13.10：
Time-Integrating Systems / Chapter 14：
Requirements on the Reference Signals / 14.1：
The Basic Operation of the Spectrum Analyzer / 14.2.2：
The Key Features of the Time-Integrating Spectrum Analyzer / 14.2.3：
Time-Integrating Correlation / 14.3：
Time-Integrating Correlator Due to Montgomery / 14.3.1：
Time-Integrating Correlator Due to Sprague and Koliopoulos / 14.3.2：
Electronic Reference Correlator / 14.4：
Comparison of Features / 14.5：
Integrated Optical Systems / 14.6：
Two-Dimensional Processing / Chapter 15：
Triple-Product Processing / 15.1：
Crossed Acousto-Optic Cell Geometry / 15.3：
The Bispectrum / 15.4：
Real-Time Raster-Format Spectrum Analysis / 15.5：
Frequency Resolution / 15.5.2：
Experimental Results / 15.5.3：
Ambiguity Function Generation / 15.6：
Ambiguity Function for a cw Signal / 15.6.1：
Ambiguity Function for a Short-Pulse Signal / 15.6.2：
Ambiguity Function for an Infinite Time Duration Chirp Signal / 15.6.3：
Wigner-Ville Distributions / 15.7：
Range and Doppler Signal Processing / 15.8：
Optical Transversal Processor for Notch Filtering / 15.9：
Sampled Time Analysis / 15.9.1：
Continuous-Time Analysis / 15.9.2：
A Frequency Plane Implementation / 15.9.3：
Phased Array Processing / 15.10：
References / Appendix I：
Bibliography
Basic Signal Parameters / Chapter 1：
Introduction / 1.1：
Characterization of a General Signal / 1.2：
30.

図書
図書
30. Electromagnetic devices for motion control and signal processing (: Berlin ; : New York)
Yuly M. Pulyer ; C.S. Burrus, consulting editor
出版情報: New York : Springer-Verlag, c1992  xi, 468 p. ; 25 cm
シリーズ名: Signal processing and digital filtering
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31.

図書
図書
31. Radar precision and resolution
by G. J. A. Bird
出版情報: London : Pentech Press, 1974  [8], 151 p. ; 23 cm
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32.

図書
図書
32. Acoustical and environmental robustness in automatic speech recognition
by Alejandro Acero ; foreword by Richard M. Stern
出版情報: Boston : Kluwer Academic Publishers, c1993  xx, 186 p. ; 25 cm
シリーズ名: The Kluwer international series in engineering and computer science ; SECS 201 . VLSI, computer architecture and digital signal processing
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目次情報: 続きを見る
List of Figures
List of Tables
Foreword
Introduction / 1：
Experimental Procedure / 2：
Frequency Domain Processing / 3：
The SDCN Algorithm / 4：
The CDCN Algorithm / 5：
Other Algorithms / 6：
Frequency Normalization / 7：
Summary of Results / 8：
Conclusions / 9：
Glossary / Appendix I：
Signal Processing in Sphinx / Appendix II：
The Bilinear Transform / Appendix III：
Spectral Estimation Issues / Appendix IV：
MMSE Estimation in the CDCN Algorithm / Appendix V：
Maximum Likelihood via the EM Algorithm / Appendix VI：
Estimation of Noise and Spectral Tilt / Appendix VII：
Vocabulary and Pronunciation Dictionary / Appendix VIII：
References
Index
List of Figures
List of Tables
Foreword
33.

図書
図書
33. Advances in spectrum analysis and array processing (v. 1 ; v. 2 ; v. 3)
Simon Haykin, editor
出版情報: Englewood, Cliffs, N.J. : Prentice Hall, c1991-c1995  v. ; 25 cm
シリーズ名: Prentice Hall advanced reference series ; . Engineering
Prentice Hall signal processing series
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34.

図書
図書
34. Optimum signal processing : an introduction. 2nd ed.
Sophocles J. Orfanidis
出版情報: New York : McGraw-Hill, c1990  xvi, 590 p. ; 24 cm
シリーズ名: McGraw-Hill international editions ; . Electrical engineering series
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35.

図書
図書
35. Acousto-optic signal processing : fundamentals & applications
Pankaj K. Das, Casimer M. De Cusatis ; with contributions by Sergey V. Kulakov
出版情報: Boston : Artech House, c1991  xii, 473 p. ; 24 cm
シリーズ名: The Artech House optoelectronics library
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36.

図書
図書
36. Synthetic aperture radar : systems and signal processing
John C. Curlander, Robert N. McDonough
出版情報: New York : Wiley, c1991  xvii, 647 p. ; 25 cm
シリーズ名: Wiley series in remote sensing
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目次情報: 続きを見る
The Radar Equation
The Matched Filter and Pulse Compression
Imaging and the Rectangular Algorithm
Ancillary Processes in Image Formation
SAR Flight System
Radiometric Calibration of SAR Data
Geometric Calibration of SAR Data
The SAR Ground System
Other Imaging Algorithms
Appendices
List of Acronyms
Index
The Radar Equation
The Matched Filter and Pulse Compression
Imaging and the Rectangular Algorithm
37.

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図書
37. ICASSP-92 : 1992 International Conference on Acoustics, Speech, and Signal Processing, March 23-26, 1992, the San Francisco Marriott, San Francisco, California (v. 1 : casebound - v. 5 : softbound)
sponsored by The Institute of Electrical and Electronics Engineers, Signal Processing Society
出版情報: Piscataway : Additional copies may be ordered from: IEEE Service Center, c1992  5 v. ; 29 cm
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38.

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図書
38. ICASSP 90 : 1990 International Conference on Acoustics, Speech, and Signal Processing, April 3-6, 1990, Albuquerque Convention Centre, Albuquerque, New Mexico, USA (v. 1 - v. 5)
sponsored by The Institute of Electrical and Electronics Engineers, Acoustics, Speech and Signal Processing Society
出版情報: New York : IEEE, c1990  5 v. ; 29 cm
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39.

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図書
39. Mathematics for seismic data processing and interpretation (pbk.)
A.R. Camina and G.J. Janacek ; foreword by R.L. French ; introduction by M. Bacon
出版情報: London : Graham & Trotman, 1984  xviii, 255 p. ; 25 cm
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40.

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図書
40. Array signal processing (: us ; : gw)
S. Uṇṇikrishṇa Pillai ; C.S. Burrus, consulting editor
出版情報: New York ; Tokyo : Springer-Verlag, c1989  xi, 221 p. ; 25 cm
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41.

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図書
41. Signal processing : principles and applications
D. Brook and R.J. Wynne
出版情報: London : Edward Arnold, c1988  ix, 308 p. ; 25 cm
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42.

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図書
42. Signal processing : discrete spectral analysis, detection, and estimation
Mischa Schwartz, Leonard Shaw
出版情報: New York : McGraw-Hill, c1975  xi, 396 p. ; 24 cm
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43.

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図書
43. Generation and application of pseudorandom sequences for random testing
V.N. Yarmolik, S.N. Demidenko
出版情報: Chichester [West Sussex] ; New York : Wiley, c1988  167 p. ; 23 cm
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44.

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図書
44. Optimised radar processors
edited by A. Farina
出版情報: London : Peregrinus, 1987  xii,198p ; 30cm
シリーズ名: IEE radar, sonar, navigation and avionics series ; 1
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45.

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図書
45. Analog signal processing and instrumentation
Arie F. Arbel
出版情報: Cambridge : Cambridge University Press, 1980  xiv, 440 p. ; 24 cm
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46.

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図書
46. Multiplicity theory and canonical decompositons
Ephremides, Anthony ; Thomas, John B.
出版情報: Stroudsburg, Pa. : Dowden, Hutchinson & Ross, 1973  xi, 393 p. ; 27 cm
シリーズ名: Benchmark papers in electrical engineering and computer science ; . Random processes / edited by Anthony Ephremides and John B. Thomas ; [1]
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47.

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図書
47. ICASSP 89 : 1989 International Conference on Acoustics, Speech, and Signal Processing, 23-26 May 1989, Scottish Exhibition+Conference Centre, Glasgow, Scotland (v. 1 - v. 4)
sponsored by The Institute of Electrical and Electronics Engineers, Acoustics, Speech and Signal Processing Society
出版情報: New York : IEEE, c1989  4 v. (2833 p.) ; 29 cm
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48.

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図書
48. Signal analysis
Athanasios Papoulis
出版情報: New York : McGraw-Hill, c1977  ix, 431 p. ; 25 cm
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49.

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図書
49. Surface wave filters : design, construction, and use
Herbert Matthews, editor
出版情報: New York : Wiley, c1977  xi, 521 p. ; 24 cm
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50.

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図書
50. Time and frequency domains analysis
Arnon Cohen
出版情報: Boca Raton, Fla. : CRC Press, c1986  167 p. ; 27 cm
シリーズ名: Biomedical signal processing / Arnon Cohen ; v. 1
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51.

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図書
51. Poisson and jump-point processes
edited by Anthony Ephremides
出版情報: Stroudsburg, Pa. : Dowden, Hutchinson & Ross, c1975  x, 352 p. ; 27 cm
シリーズ名: Benchmark papers in electrical engineering and computer science ; 11 . Random processes ; 2
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52.

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図書
52. Plenary, special, audio, underwater acoustics, VLSI, neural networks (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : Additional copies may be ordered from: IEEE Service Center, c1993  652 p. ; 28 cm
シリーズ名: ICASSP-93 : 1993 International Conference on Acoustics, Speech, and Signal Processing, April 27-30, 1993, Minneapolis Convention Center, Minneapolis, Minnesota, USA / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 1
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53.

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図書
53. Speech processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : Additional copies may be ordered from: IEEE Service Center, c1993  735 p. ; 28 cm
シリーズ名: ICASSP-93 : 1993 International Conference on Acoustics, Speech, and Signal Processing, April 27-30, 1993, Minneapolis Convention Center, Minneapolis, Minnesota, USA / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 2
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54.

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図書
54. Digital speech processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : Additional copies may be ordered from: IEEE Service Center, c1993  606 p. ; 28 cm
シリーズ名: ICASSP-93 : 1993 International Conference on Acoustics, Speech, and Signal Processing, April 27-30, 1993, Minneapolis Convention Center, Minneapolis, Minnesota, USA / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 3
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55.

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図書
55. Statistical signal and array processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : Additional copies may be ordered from: IEEE Service Center, c1993  559 p. ; 28 cm
シリーズ名: ICASSP-93 : 1993 International Conference on Acoustics, Speech, and Signal Processing, April 27-30, 1993, Minneapolis Convention Center, Minneapolis, Minnesota, USA / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 4
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56.

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図書
56. Image and multidimensional signal processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : Additional copies may be ordered from: IEEE Service Center, c1993  681 p. ; 28 cm
シリーズ名: ICASSP-93 : 1993 International Conference on Acoustics, Speech, and Signal Processing, April 27-30, 1993, Minneapolis Convention Center, Minneapolis, Minnesota, USA / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 5
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57.

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57. Analog VLSI : signal and information processing (: pbk)
Mohammed Ismail, Terri Fiez
出版情報: New York ; London : McGraw-Hill, c1994  xvii, 741 p. ; 24 cm
シリーズ名: McGraw-Hill series in electrical and computer engineering ; Electronics and VLSI circuits
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58.

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58. Advances in signal processing for nondestructive evaluation of materials
edited by X.P.V. Maldague
出版情報: Dordrecht ; Boston : Kluwer Academic Publishers, 1994  xi, 493 p. ; 25 cm
シリーズ名: NATO ASI series ; ser. E . Applied sciences ; v. 262
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59.

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59. Robust industrial control : optimal design approach for polynomial systems
Michael J. Grimble
出版情報: New York ; Tokyo : Prentice Hall, 1994  xvi, 597 p. ; 25 cm
シリーズ名: Prentice-Hall international series in systems and control engineering
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60.

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60. Neural networks for optimization and signal processing
A. Cichocki, R. Unbehauen
出版情報: New York : J. Wiley, 1993  xvii, 526 p. ; 24 cm
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Mathematical Preliminaries of Neurocomputing
Architectures and Electronic Implementation of Neural Network Models
Unconstrained Optimization and Learning Algorithms
Neural Networks for Linear, Quadratic Programming and Linear Complementarity Problems
A Neural Network Approach to the On-Line Solution of a System of Linear Algebraic Equations and Related Problems
Neural Networks for Matrix Algebra Problems
Neural Networks for Continuous, Nonlinear, Constrained Optimization Problems
Neural Networks for Estimation, Identification and Prediction
Neural Networks for Discrete and Combinatorial Optimization Problems
Appendices
Subject Index
Mathematical Preliminaries of Neurocomputing
Architectures and Electronic Implementation of Neural Network Models
Unconstrained Optimization and Learning Algorithms
61.

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61. ICASSP-93 : 1993 International Conference on Acoustics, Speech, and Signal Processing, April 27-30, 1993, Minneapolis Convention Center, Minneapolis, Minnesota, USA (v. 1 - v. 5)
sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society
出版情報: Piscataway : Additional copies may be ordered from: IEEE Service Center, c1993  5 v. ; 29 cm
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62.

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62. Speech processing 1 (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : IEEE Service Center, c1994  640 p. ; 30 cm
シリーズ名: ICASSP-94 : 1994 International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide Convention Centre, Adelaide, South Australia / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 1
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63.

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63. Speech processing 2, audio, underwater acoustics, VLSI & neural networks (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : IEEE Service Center, c1994  688 p. ; 30 cm
シリーズ名: ICASSP-94 : 1994 International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide Convention Centre, Adelaide, South Australia / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 2
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64.

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64. Digital signal processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : IEEE Service Center, c1994  628 p. ; 30 cm
シリーズ名: ICASSP-94 : 1994 International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide Convention Centre, Adelaide, South Australia / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 3
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65.

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65. Statistical signal and array processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : IEEE Service Center, c1994  596 p. ; 30 cm
シリーズ名: ICASSP-94 : 1994 International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide Convention Centre, Adelaide, South Australia / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 4
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66.

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図書
66. Image and multidimensional signal processing (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : IEEE Service Center, c1994  632 p. ; 30 cm
シリーズ名: ICASSP-94 : 1994 International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide Convention Centre, Adelaide, South Australia / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 5
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67.

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67. Plenary and special sessions (: softbound ; : casebound)
IEEE International Conference on Acoustics, Speech, and Signal Processing ; IEEE Signal Processing Society
出版情報: Piscataway : IEEE Service Center, c1994  198 p. ; 30 cm
シリーズ名: ICASSP-94 : 1994 International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide Convention Centre, Adelaide, South Australia / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society ; Vol. 6
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68.

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68. Time-frequency signal analysis : methods and applications
edited by Boualem Boashash
出版情報: Melbourne : Longman Cheshire , New York : Halsted Press, 1992  x, 547 p. ; 24 cm
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69.

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69. Random processes : filtering, estimation, and detection
Lonnie C. Ludeman
出版情報: Hoboken : Wiley & Sons, 2003  xvii, 608 p. ; 25 cm
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70.

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図書
70. Wiley encyclopedia of telecommunications (: set - v. 5. Sp-Z, index)
John G. Proakis, editor
出版情報: Hoboken : Wiley-Interscience, c2003  5 v. (xii, 3074 p.) ; 29 cm
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71.

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図書
71. Wavelets and subbands : fundamentals and applications
Agostino Abbate, Casimer M. DeCusatis, Pankaj K. Das
出版情報: Boston : Birkhäuser, c2002  xvii, 551 p. ; 25 cm
シリーズ名: Applied and numerical harmonic analysis / series editor, John J. Benedetto
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目次情報: 続きを見る
Preface
Notation
Introduction / 1.：
Historical Review: From Fourier Analysis to Wavelet Analysis and Subband / 1.1：
Organization of This Book / 1.2：
References / 1.3：
Fundamentals / Part I：
Wavelet Fundamentals / 2.：
Why Wavelet Transforms? / 2.1：
Fourier Transform as a Wave Transform / 2.3：
Wavelet Transform / 2.4：
Connection Between Wavelets and Filters / 2.5：
Time-Frequency Analysis: Short-Time Fourier Transform, Gabor Transform, and Tiling in the Time-Frequency Plane / 2.6：
Examples of Wavelets / 2.7：
From the Continuous to the Discrete Case / 2.8：
Frames / 2.9：
Subbands / 2.10：
Multiresolution Analysis / 2.11：
Matrix Formulation / 2.12：
Multiresolution Revisited / 2.13：
Two-Dimensional Case / 2.14：
DWT and Subband Example / 2.15：
Implementations / 2.16：
Summary and Conclusions / 2.17：
Wavelets and Subbands / 2.18：
Time and Frequency Analysis of Signals / 3.：
Fundamentals of Signal Analysis / 3.1：
Uncertainty Principle / 3.1.2：
Windowed Fourier Transform: Short-Time Fourier Transform and Gabor Transform / 3.2：
General Properties of the Windowed Fourier Transform / 3.2.1：
Uncertainty Principle for Windowed Fourier Transform / 3.2.2：
Inverse Windowed Fourier Transform / 3.2.3：
Continuous Wavelet Transform / 3.3：
Mathematics of the Continuous Wavelet Transform / 3.3.1：
Properties of the Continuous Wavelet Transform / 3.3.2：
Inverse Wavelet Transform / 3.3.3：
Examples of Mother Wavelets / 3.3.4：
Analytic Wavelet Transform / 3.4：
Analytic Signals / 3.4.1：
Analytic Wavelet Transform on Real Signals / 3.4.2：
Physical Interpretation of an Analytic Signal / 3.4.3：
Quadratic Time-Frequency Distributions / 3.5：
Discrete Wavelet Transform: From Frames to Fast Wavelet Transform / 3.6：
Fundamentals of Frame Theory / 4.1：
Sampling Theorem / 4.3：
Wavelet Frames / 4.4：
Examples of Wavelet Frames / 4.5：
Time-Frequency Localization / 4.6：
Orthonormal Discrete Wavelet Transforms / 4.7：
Scaling Functions / 4.8：
Construction of Wavelet Bases Using Multiresolution Analysis / 4.10：
Wavelet Bases / 4.11：
Shannon Wavelet / 4.11.1：
Meyer Wavelet / 4.11.2：
Haar Wavelet / 4.11.3：
Battle-Lemarie (Spline) Wavelets / 4.11.4：
Daubechies Compactly Supported Wavelets / 4.12：
Fast Wavelet Transform / 4.13：
Biorthogonal Wavelet Bases / 4.14：
Theory of Subband Decomposition / 4.15：
Fundamentals of Digital Signal Processing / 5.1：
Multirate Systems / 5.3：
Polyphase Decomposition / 5.4：
Two-Channel Filter Bank/PR Filter / 5.5：
Biorthogonal Filters / 5.6：
Lifting Scheme / 5.7：
M-Band Case / 5.8：
Applications of Multirate Filtering / 5.9：
Two-Dimensional Wavelet Transforms and Applications / 5.10：
Orthogonal Pyramid Transforms / 6.1：
Progressive Transforms for Lossless and Lossy Image Coding / 6.3：
Embedded Zerotree Wavelets / 6.4：
Applications / 6.5：
Applications of Wavelets in the Analysis of Transient Signals / 7.：
Introduction to Time-Frequency Analysis of Transient Signals / 7.1：
Ultrasonic Systems / 7.2.1：
Ultrasonic Characterization of Coatings by the Ridges of the Analytic Wavelet Transform / 7.2.2：
Characterization of Coatings / 7.2.3：
Biomedical Application of Wavelets: Analysis of EEG Signals for Monitoring Depth of Anesthesia / 7.3：
Wavelet Spectral Analysis of EEG Signals / 7.3.1：
System Response Wavelet Analysis of EEG Signals / 7.3.2：
Discussion of Results / 7.3.3：
Applications of Subband and Wavelet Transform in Communication Systems / 7.4：
Applications in Spread Spectrum Communication Systems / 8.1：
Excision / 8.2.1：
Adaptive Filter-Bank Exciser / 8.2.2：
Transform-Based Low Probability of Intercept Receiver / 8.2.3：
Application of Multirate Filter Bank in Spreading Code Generation and Multiple Access / 8.2.4：
Modulation Using Filter Banks and Wavelets / 8.3：
Multitione Modulation / 8.4：
Noise Reduction in Audio and Images Using Wavelets / 8.5：
Audio/Video/Image Compression / 8.6：
Progressive Pattern Recognition
Real-Time Implementations of Wavelet Transforms / 8.7：
Digital VLSI Implementation / 9.1：
Optical Implementation / 9.2：
Matrix Processing and Neural Networks / 9.2.1：
Acousto-Optic Devices / 9.2.2：
Other Optical Implementations / 9.2.3：
Appendix / 9.3：
Fourier Transform / A.：
Discrete Fourier Transform / B.：
z-Transform / C.：
Orthogonal Representation of Signals / D.：
Bibliography
Index
Preface
Notation
Introduction / 1.：
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72. Modulated coding for intersymbol interference channels
Xiang-gen Xia
出版情報: New York : Marcel Dekker, 2001  xiv, 289 p. ; 24 cm
シリーズ名: Signal processing and communications series ; 6
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目次情報: 続きを見る
Series Introduction / K. J. Ray Liu
Preface
Introduction / 1：
Post Equalizations / 1.1：
Transmitter Assisted Equalizations / 1.2：
TH Precoding / 1.2.1：
Modulated Coding and Vector Coding / 1.2.2：
Information Rates and Capacity of an ISI Channel with AWGN / 1.3：
Some Notations / 1.4：
Modulated Codes: Fundamentals and Coding Gain / 2：
Modulated Codes / 2.1：
Coding Gain in AWGN Channel / 2.2：
MC Combined with an ISI Channel / 2.3：
Coding Gain in ISI Channels / 2.4：
More Results on Coding Gain / 2.5：
Existence of Rate 2/[Gamma] MC with Coding Gain / 2.5.1：
Some Sufficient Conditions on the Existence of Higher Rate Block MC with Coding Gain / 2.5.2：
A Method on the Rate Estimation of MC with Coding Gain / 2.5.3：
Lower and Upper Bounds on the Coding Gain / 2.5.4：
Joint Maximum-Likelihood Encoding and Decoding / 3：
Performance Analysis of MC / 3.1：
A Method for Computing the Distance Spectrum of Modulated Codes / 3.2：
Error-Pattern Trellis / 3.2.1：
Distance Spectrum and Bidirectional Searching Algorithm / 3.2.2：
Simulation Examples / 3.3：
An Algorithm for Searching the Optimal MC Given an ISI Channel / 3.4：
Modulated Code Coded Decision Feedback Equalizer / 4：
MC Coded Zero-Forcing DFE / 4.1：
Performance Analysis / 4.1.1：
The Optimal MC Design / 4.1.2：
Some Simulation Results / 4.1.3：
MC Coded Minimum Mean Square Error DFE / 4.2：
Optimal Decision-Delay and Coefficients of an MC Coded MMSE-DFE / 4.2.1：
Optimal Block MC for MC Coded MMSE-DFE / 4.2.2：
Simulation Results / 4.2.3：
An Optimal MC Design Converting ISI Channel into ISI-Free Channel / 4.3：
An Optimal Modulated Code Design / 4.3.1：
A Sub-optimal Modulated Code Design / 4.3.2：
Delayed Design / 4.3.3：
Capacity and Information Rates for Modulated Code Coded Intersymbol Interference Channels / 4.3.4：
Some Lower Bounds of Capacity and Information Rates / 5.1：
MC Existence with Increased Information Rates / 5.2：
Numerical Results / 5.3：
Combined Turbo and MC Coding / 5.4：
Joint Turbo and Modulated Code Encoding / 5.4.1：
Joint Soft Turbo and MC Decoding / 5.4.2：
Space-Time Modulated Coding for Memory Channels / 5.4.3：
Channel Model and Space-Time MC / 6.1：
Space-Time MC Coded ZF-DFE / 6.2：
MC Coded ZF-DFE and Performance Analysis / 6.2.1：
The Optimal Space-Time MC Design / 6.2.2：
Capacity and Information Rates of the Space-Time MC Coded MIMO Systems / 6.3：
Capacity and Information Rates of MIMO Systems without MC Encoding / 6.3.1：
Modulated Code Coded Orthogonal Frequency Division Multiplexing Systems / 6.3.2：
OFDM Systems for ISI Channels / 7.1：
General MC Coded OFDM Systems for ISI Channels / 7.2：
Channel Independent MC Coded OFDM System for ISI Channels / 7.3：
A Special MC / 7.3.1：
An Example / 7.3.2：
Performance Analysis of MC Coded OFDM Systems for ISI Channels / 7.3.3：
Vector OFDM Systems / 7.3.4：
Channel Independent MC Coded OFDM System for Frequency-Selective Fading Channels / 7.3.5：
Polynomial Ambiguity Resistant Modulated Codes for Blind ISI Mitigation / 7.4.1：
PARMC: Definitions / 8.1：
Basic Properties and a Family of PARMC / 8.2：
Applications in Blind Identification / 8.3：
Blind Identifiability / 8.3.1：
An Algebraic Blind Identification Algorithm / 8.3.2：
Applications in Communication Systems / 8.4：
Applications in Single-Receiver, Baud-Rate Sampled Systems / 8.4.1：
Applications in Undersampled Antenna Array Receiver Systems / 8.4.2：
Numerical Examples / 8.5：
Single Antenna Receiver with Baud Sampling Rate / 8.5.1：
Undersampled Antenna Array Receivers / 8.5.2：
Characterization and Construction of Polynomial Ambiguity Resistant Modulated Codes / 9：
PAR-Equivalence and Canonical Forms for Irreducible Polynomial Matrices / 9.1：
(Strong) rth PARMC with N ] K / 9.2：
(Strong) rth PARMC with N = K + 1 / 9.3：
An Optimal Polynomial Ambiguity Resistant Modulated Code Design / 10：
A Criterion for PARMC Design / 10.1：
Optimal Systematic PARMC / 10.2：
Conclusions and Some Open Problems / 10.3：
Some Fundamentals on Multirate Filterbank Theory / A：
Some Basic Building Blocks / A.1：
Decimator and Expander / A.1.1：
Noble Identities / A.1.2：
Polyphase Representations / A.1.3：
M-Channel Multirate Filterbanks / A.2：
Maximally Decimated Multirate Filterbanks: Perfect Reconstruction and Aliasing Component Matrix / A.2.1：
Maximally Decimated Multirate Filterbanks: Perfect Reconstruction and Polyphase Matrix / A.2.2：
Perfect Reconstruction FIR Multirate Filterbank Factorization and Construction / A.3：
Factorization of FIR Polyphase Matrices with FIR Inverses / A.3.1：
Factorization of Paraunitary FIR Matrix Polynomials / A.3.2：
Perfect Reconstruction Multirate Filterbank Design / A.3.3：
DFT and Cosine Modulated Filterbanks / A.4：
DFT Filterbanks / A.4.1：
Cosine Modulated Filterbanks / A.4.2：
Bibliography
Index
Series Introduction / K. J. Ray Liu
Preface
Introduction / 1：
73.

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73. Handbook of signal processing in acoustics (v. 1 ; v. 2)
edited by David Havelock, Sonoko Kuwano, Michael Vorländer
出版情報: New York : Springer, c2008  v. ; 25 cm
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目次情報: 続きを見る
Acoustic Signals and Systems
Auditory Systems
Psychoacoustics
Musical Acoustics
Speech
Audio Engineering
Telecommunications
Noise
Active Noise Control
Structural Acoustics and Vibration
Bioresponse to Vibration
Transducers for Acoustic Measurement
Engineering Acoustics
Infrasonics
Seismology
Underwater and Oceanographic Acoustics
Animal Acoustics
Acoustic Signals and Systems
Auditory Systems
Psychoacoustics
74.

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図書
74. EEG signal processing
Saeid Sanei and Jonathon Chambers
出版情報: Chichester : John Wiley & Sons, c2007  xxii, 289 p. ; 25 cm
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目次情報: 続きを見る
Preface
List of Abbreviations
List of Symbols
Introduction to EEG / 1：
History / 1.1：
Neural Activities / 1.2：
Action Potentials / 1.3：
EEG Generation / 1.4：
Brain Rhythms / 1.5：
EEG Recording and Measurement / 1.6：
Conventional Electrode Positioning / 1.6.1：
Conditioning the Signals / 1.6.2：
Abnormal EEG Patterns / 1.7：
Ageing / 1.8：
Mental Disorders / 1.9：
Dementia / 1.9.1：
Epileptic Seizure and Nonepileptic Attacks / 1.9.2：
Psychiatric Disorders / 1.9.3：
External Effects / 1.9.4：
Summary and Conclusions / 1.10：
References
Fundamentals of EEG Signal Processing / 2：
EEG Signal Modelling / 2.1：
Linear Models / 2.1.1：
Nonlinear Modelling / 2.1.2：
Generating EEG Signals Based on Modelling the Neuronal Activities / 2.1.3：
Nonlinearity of the Medium / 2.2：
Nonstationarity / 2.3：
Signal Segmentation / 2.4：
Signal Transforms and Joint Time-Frequency Analysis / 2.5：
Wavelet Transform / 2.5.1：
Ambiguity Function and the Wigner-Ville Distribution / 2.5.2：
Coherency, Multivariate Autoregressive (MVAR) Modelling, and Directed Transfer Function (DTF) / 2.6：
Chaos and Dynamical Analysis / 2.7：
Entropy / 2.7.1：
Kolmogorov Entropy / 2.7.2：
Lyapunov Exponents / 2.7.3：
Plotting the Attractor Dimensions from the Time Series / 2.7.4：
Estimation of Lyapunov Exponents from the Time Series / 2.7.5：
Approximate Entropy / 2.7.6：
Using the Prediction Order / 2.7.7：
Filtering and Denoising / 2.8：
Principal Component Analysis / 2.9：
Singular-Value Decomposition / 2.9.1：
Independent Component Analysis / 2.10：
Instantaneous BSS / 2.10.1：
Convolutive BSS / 2.10.2：
Sparse Component Analysis / 2.10.3：
Nonlinear BSS / 2.10.4：
Constrained BSS / 2.10.5：
Application of Constrained BSS: Example / 2.11：
Signal Parameter Estimation / 2.12：
Classification Algorithms / 2.13：
Support Vector Machines / 2.13.1：
The k-Means Algorithm / 2.13.2：
Matching Pursuits / 2.14：
Event-Related Potentials / 2.15：
Detection, Separation, Localization, and Classification of P300 Signals / 3.1：
Using ICA / 3.1.1：
Estimating Single Brain Potential Components by Modelling ERP Waveforms / 3.1.2：
Source Tracking / 3.1.3：
Localization of the ERP / 3.1.4：
Time-Frequency Domain Analysis / 3.1.5：
Adaptive Filtering Approach / 3.1.6：
Prony's Approach for Detection of P300 Signals / 3.1.7：
Adaptive Time-Frequency Methods / 3.1.8：
Brain Activity Assessment Using ERP / 3.2：
Application of P300 to BCI / 3.3：
Seizure Signal Analysis / 3.4：
Seizure Detection / 4.1：
Adult Seizure Detection / 4.1.1：
Detection of Neonate Seizure / 4.1.2：
Chaotic Behaviour of EEG Sources / 4.2：
Predictability of Seizure from the EEGs / 4.3：
Fusion of EEG-fMRI Data for Seizure Prediction / 4.4：
EEG Source Localization / 4.5：
Introduction / 5.1：
General Approaches to Source Localization / 5.1.1：
Dipole Assumption / 5.1.2：
Overview of the Traditional Approaches / 5.2：
ICA Method / 5.2.1：
MUSIC Algorithm / 5.2.2：
LORETA Algorithm / 5.2.3：
FOCUSS Algorithm / 5.2.4：
Standardized LORETA / 5.2.5：
Other Weighted Minimum Norm Solutions / 5.2.6：
Evaluation Indices / 5.2.7：
Joint ICA-LORETA Approach / 5.2.8：
Partially Constrained BSS Method / 5.2.9：
Determination of the Number of Sources / 5.3：
Sleep EEG / 5.4：
Stages of Sleep / 6.1：
NREM Sleep / 6.1.1：
REM Sleep / 6.1.2：
The Influence of Circadian Rhythms / 6.2：
Sleep Deprivation / 6.3：
Preface
List of Abbreviations
List of Symbols
75.

図書
図書
75. Modern signal processing (: hardback)
edited by Daniel N. Rockmore, Dennis M. Healy, Jr
出版情報: Cambridge : Cambridge University Press, c2004  xi, 340 p. ; 25 cm
シリーズ名: Mathematical Sciences Research Institute publications ; 46
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76.

図書
図書
76. High-resolution and robust signal processing
edited by Yingbo Hua, Alex B. Gershman, Qi Cheng
出版情報: New York : Marcel Dekker, c2004  xxiii, 448 p. ; 24 cm
シリーズ名: Signal processing and communications series ; 19
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77.

図書
図書
77. An operator perspective on signals and systems
Arthur E. Frazho, Wisuwat Bhosri
出版情報: Basel : Birkhäuser, c2010  xi, 429 p. ; 24 cm
シリーズ名: Operator theory : advances and applications ; v. 204
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78.

図書
図書
78. Convex optimization in signal processing and communications
edited by Daniel P. Palomar and Yonina C. Eldar
出版情報: Cambridge ; Tokyo : Cambridge University Press, 2010  xiv, 498 p. ; 26 cm
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目次情報: 続きを見る
Automatic code generation for real-time convex optimization / J. Mattingley ; S. Boyd1：
Gradient-based algorithms with applications to signal recovery problems / A. Beck ; M. Teboulle2：
Graphical models of autoregressive processes / J. Songsiri ; J. Dahl ; L. Vandenberghe3：
SDP relaxation of homogeneous quadratic optimization / Z. Q. Luo ; T. H. Chang4：
Probabilistic analysis of SDR detectors for MIMO systems / A. Man-Cho So ; Y. Ye5：
Semidefinite programming, matrix decomposition, and radar code design / Y. Huang ; A. De Maio ; S. Zhang6：
Convex analysis for non-negative blind source separation with application in imaging / W. K. Ma ; T. H. Chan ; C. Y. Chi ; Y. Wang7：
Optimization techniques in modern sampling theory / T. Michaeli ; Y. C. Eldar8：
Robust broadband adaptive beamforming using convex optimization / M. RÃ1/4bsamen ; A. El-Keyi ; A. B. Gershman ; T. Kirubarajan9：
Cooperative distributed multi-agent optimization / A. NenadiÄç ; A. Ozdaglar10：
Competitive optimization of cognitive radio MIMO systems via game theory / G. Scutari ; D. P. Palomar ; S. Barbarossa11：
Nash equilibria: the variational approach / F. Facchinei ; J. S. Pang12：
Automatic code generation for real-time convex optimization / J. Mattingley ; S. Boyd1：
Gradient-based algorithms with applications to signal recovery problems / A. Beck ; M. Teboulle2：
Graphical models of autoregressive processes / J. Songsiri ; J. Dahl ; L. Vandenberghe3：
79.

図書
図書
79. Foundations of signal processing (: hardback)
Martin Vetterli, Jelena Kovaěvić, Vivek K. Goyal
出版情報: Cambridge : Cambridge University Press, 2014  xxvii, 715 p. ; 26 cm
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80.

図書
図書
80. An introduction to statistical signal processing with applications
M.D. Srinath, P.K. Rajasekaran
出版情報: New York : Wiley, c1979  ix, 499 p. ; 24 cm
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目次情報: 続きを見る
Introduction / 1：
Signals and Systems / 2：
Detection Theory / 3：
Detection of Signals in Noise / 4：
Estimation Theory / 5：
Estimation of Waveforms / 6：
Further Topics in Detection and Estimation / 7：
Applications to Communication and Radar Systems / 8：
Miscellaneous Applications / 9：
Bilateral Transforms / Appendix A：
Calculus of Extrema / Appendix B：
Vectors and Matrices / Appendix C：
Introduction / 1：
Signals and Systems / 2：
Detection Theory / 3：
81.

図書
図書
81. Introduction to discrete-time signal processing
Steven A. Tretter
出版情報: New York : Wiley, c1976  xiv, 460 p. ; 24 cm
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Uniform Sampling
Data Reconstruction by Polynomial Interpolation and Extrapolation
The Z-Transform
Analysis of Sampled-Data Systems by Transform Methods
State Space Representation of Sampled-Data Systems
Linear Systems and Uniformly Sampled Random Processes
The Design of the Pulse Transfer Functions for Digital Filtering
Effects of Quantization and Finite Word Length Arithmetic in Digital Filters
The Discrete Fourier Transform: Theory, Efficient Computation, Applications to Digital Filtering and Correlation
Estimation of Power Spectral Densities
Fundamentals of Hilbert Spaces
Linear Parameter Estimation
Recursive Estimation
Uniform Sampling
Data Reconstruction by Polynomial Interpolation and Extrapolation
The Z-Transform
82.

図書
図書
82. Multidimensional systems : techniques and applications
edited by Spyros G. Tzafestas
出版情報: New York : M. Dekker, c1986  xvi, 631 p. ; 24 cm
シリーズ名: Electrical engineering and electronics ; 29
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目次情報: 続きを見る
Preface
Introduction
Contributors
Two-Dimensional Digital Systems and Applications: The State of the Art / Vito Cappellini ; Pier Luigi Emiliani1：
Linear Two-Dimensional Digital Systems / 1.：
Linear Systems Described by Difference Equations / 3.：
Two-Dimensional Digital Filter Stability / 4.：
Local Space Operators / 5.：
Design Methods of Two-Dimensional Digital Filters / 6.：
Implementation of Two-Dimensional Digital Filtering Operations / 7.：
Applications / 8.：
References
Structure and Properties of Two-Dimensional Systems / Ettore Fornasini ; Giovanni Marchesini2：
Two-Dimensional State-Space Models
Reachability and Observability
Structure of Two-Dimensional Realizations
Stability
Stability of Multidimensional Systems and Related Problems / Eliahu I. Jury3：
Recursive Filters and Basic Methods for Their Stability
Stability Theorems
Stability Tests
Some Necessary and Sufficient Stability Conditions for Low-Order Two-Dimensional Filters
Stability in the Presence of Nonessential Singularities of the Second Kind
Margins of Stability and Methods of Their Computations
Stability of Multidimensional Continuous Systems
Appendix
State-Feedback Control of Three-Dimensional Systems / Spyros G. Tzafestas4：
State-Space Representation of Three-Dimensional Systems
Three-Dimensional Transfer-Function Factorization Using State-Feedback Control
Three-Dimensional Characteristic Polynomial Controller Design
Three-Dimensional Input-Output State-Feedback Decoupling Control
Three-Dimensional Model-Matching Feedback Control
Deadbeat Control of Two-Dimensional Systems
Minimum Effort Control of Three-Dimensional Systems
Conclusions / 9.：
Finite-Word-Length Effects in Two-Dimensional Digital Systems / Tyseer T. Aboulnasr ; Moustafa M. Fahmy5：
Local State-Space Realizations
Effect of Coefficient Quantization
Effect of the Overflow Nonlinearity
Limit Cycles
Round-Off Noise
Conclusion
Two-Variable Analog Ladders with Applications / M. N. S. Swamy ; Harnath C. Reddy6：
Preliminaries
Techniques for the Realization of a Two-Variable Positive Real Function Z(s[subscript 1], s[subscript 2]) as a Ladder Network
Realization of a Two-Variable Transfer Function in the Ladder Form
Application to Two-Dimensional Wave Digital Filter Design
Modeling of Multidimensional Signals with Applications to Images / Demetrios Kazakos ; P. Papantoni-Kazakos7：
Block-Circulant Matrices
Periodic Random Processes as Signal Models: One-Dimensional Case
Two-Dimensional Periodic Random Processes
Image Restoration
Discrimination and Parameter Identification for Periodic Models
Real-Time Image Processing / Anastasios N. Venetsanopoulos8：
Hardware and Software for Real-Time Image Processing
Algorithms and Applications for Real-Time Image Processing
Real-Time Image Processing Through Distributed Arithmetic
Recognition and Tracking of Moving Objects
Future Trends
Symmetry in Two-Dimensional Filters and its Application / P. Karivaratha Rajan9：
Definition and Types of Symmetry
Symmetry Relations in Two-Dimensional Fourier Transforms
Symmetry in Magnitude Response: Continuous Domain
Symmetry in Magnitude Response: Discrete Domain
Application of Symmetry Relations
Summary
Notation
Parameter Identification for Two-Dimensional Image Enhancement / Tohru Katayama ; Sueo Sugimoto10：
Identification of Two-Dimensional Causal Model
Identification of Vector AR Model
Multiprocessor Configurations for Processing and Transform Coding of Digital Images / Nikitas A. Alexandridis11：
Multiprocessor Systems for Image Processing
Multiprocessor Transform Coding of Images
Computer-Aided Design of Two-Dimensional Digital Filters / 12：
Objective Functions
Optimization Algorithms
Computer-Aided Design of Two-Dimensional FIR Digital Filters
Computer-Aided Design of Two-Dimensional IIR Digital Filters
Magnitude Response Design of Two-Dimensional IIR Digital Filter with Octagonal Symmetry
Phase Response Design of Two-Dimensional IIR Digital Filter with Octagonal Symmetry
Recent Developments and Future Trends
Digital Tomographic Filters for Radiographs / Jose M. Costa13：
Three-Dimensional Imaging Techniques with X Rays
Tomographic Filters
Design and Realization of Tomographic Filters
Conclusions and Directions for Further Research
Index
Preface
Introduction
Contributors
83.

図書
図書
83. Seismic signal analysis and discrimination
edited by C.H. Chen
出版情報: Amsterdam ; New York : Elsevier Scientific Pub. Co. , New York, NY : Distributors for the U.S. and Canada, Elsevier Science, 1982  196 p. ; 25 cm
シリーズ名: Methods in geochemistry and geophysics ; 17
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84.

図書
図書
84. Multimodal signal processing : theory and applications for human-computer interaction
Edited by Jean-Philippe Thiran, Ferran Marqués, Hervé Bourlard
出版情報: Oxford : Academic Press, 2010  xiv, 328 p. ; 24 cm
シリーズ名: EURASIP and Academic Press Series in Signal and Image Processing
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目次情報: 続きを見る
Preface
Introduction / Jean-Philippe Thiran ; Ferran Marqués ; Hervé Bourlard1：
Signal Processing, Modelling and Related Mathematical Tools / Part I：
Statistical Machine Learning for HCI / Samy Bengio2：
Introduction to Statistical Learning / 2.1：
Types of Problem / 2.2.1：
Function Space / 2.2.2：
Loss Functions / 2.2.3：
Expected Risk and Empirical Risk / 2.2.4：
Statistical Learning Theory / 2.2.5：
Support Vector Machines for Binary Classification / 2.3：
Hidden Markov Models for Speech Recognition / 2.4：
Speech Recognition / 2.4.1：
Markovian Processes / 2.4.2：
Hidden Markov Models / 2.4.3：
Inference and Learning with HMMs / 2.4.4：
HMMs for Speech Recognition / 2.4.5：
Conclusion / 2.5：
References
Speech Processing / Thierry Dutoit ; Stéphane Dupont3：
Feature Extraction / 3.1：
Acoustic Modelling / 3.2.2：
Language Modelling / 3.2.3：
Decoding / 3.2.4：
Multiple Sensors / 3.2.5：
Confidence Measures / 3.2.6：
Robustness / 3.2.7：
Speaker Recognition / 3.3：
Overview / 3.3.1：
Text-to-Speech Synthesis / 3.3.2：
Natural Language Processing for Speech Synthesis / 3.4.1：
Concatenative Synthesis with a Fixed Inventory / 3.4.2：
Unit Selection-Based Synthesis / 3.4.3：
Statistical Parametric Synthesis / 3.4.4：
Conclusions / 3.5：
Natural Language and Dialogue Processing / Olivier Pietquin4：
Natural Language Understanding / 4.1：
Syntactic Parsing / 4.2.1：
Semantic Parsing / 4.2.2：
Contextual Interpretation / 4.2.3：
Natural Language Generation / 4.3：
Document Planning / 4.3.1：
Microplanning / 4.3.2：
Surface Realisation / 4.3.3：
Dialogue Processing / 4.4：
Discourse Modelling / 4.4.1：
Dialogue Management / 4.4.2：
Degrees of Initiative / 4.4.3：
Evaluation / 4.4.4：
Image and Video Processing Tools for HCI / Montse Pardàs ; Verónica Vilaplana ; Cristian Canton-Ferrer4.5：
Face Analyses / 5.1：
Face Detection / 5.2.1：
Face Tracking / 5.2.2：
Facial Feature Detection and Tracking / 5.2.3：
Gaze Analysis / 5.2.4：
Face Recognition / 5.2.5：
Facial Expression Recognition / 5.2.6：
Hand-Gesture Analysis / 5.3：
Head Orientation Analysis and FoA Estimation / 5.4：
Head Orientation Analysis / 5.4.1：
Focus of Attention Estimation / 5.4.2：
Body Gesture Analysis / 5.5：
Processing of Handwriting and Sketching Dynamics / Claus Vielhauer5.6：
History of Handwriting Modality and the Acquisition of Online Handwriting Signals / 6.1：
Basics in Acquisition, Examples for Sensors / 6.3：
Analysis of Online Handwriting and Sketching Signals / 6.4：
Overview of Recognition Goals in HCI / 6.5：
Sketch Recognition for User Interface Design / 6.6：
Similarity Search in Digital Ink / 6.7：
Summary and Perspectives for Handwriting and Sketching in HCI / 6.8：
Multimodal Signal Processing and Modelling / Part II：
Basic Concepts of Multimodal Analysis / Mihai Curban7：
Defining Multimodality / 7.1：
Advantages of Multimodal Analysis / 7.2：
Multimodal Information Fusion / Norman Poh ; Josef Kittler7.3：
Levels of Fusion / 8.1：
Adaptive versus Non-Adaptive Fusion / 8.3：
Other Design Issues / 8.4：
Modality Integration Methods / Mihai Gurban ; jean-Philippe Thiran8.5：
Multimodal Fusion for AVSR / 9.1：
Types of Fusion / 9.2.1：
Multistream HMMs / 9.2.2：
Stream Reliability Estimates / 9.2.3：
Multimodal Speaker Localisation / 9.3：
A Multimodal Recognition Framework for Joint Modality Compensation and Fusion / Konstantinos Moustakas ; Savvas Argyropoulos ; Dimitrios Tzovaras9.4：
Joint Modality Recognition and Applications / 10.1：
A New Joint Modality Recognition Scheme / 10.3：
Concept / 10.3.1：
Theoretical Background / 10.3.2：
Joint Modality Audio-Visual Speech Recognition / 10.4：
Signature Extraction Stage / 10.4.1：
Recognition Stage / 10.4.2：
Joint Modality Recognition in Biometrics / 10.5：
Results / 10.5.1：
References|204 / 10.6：
Managing Multimodal Data, Metadata and Annotations: Challenges and Solutions / Andrei Popescu-Belis11：
Setting the Stage: Concepts and Projects / 11.1：
Metadate-versusAnnotations / 11.2.l：
Examples of Large Multimodal Collections / 11.2.2：
Capturing and Recording Multimodal Data / 11.3：
Capture Devices / 11.3.1：
Synchronisation / 11.3.2：
Activity Types in Multimodal Corpora / 11.3.3：
Examples of Set-ups and Raw Data / 11.3.4：
Reference Metadata and Annotations / 11.4：
Gathering Metadata: Methods / 11.4.1：
Metadata for the AMI Corpus / 11.4.2：
Reference Annotations: Procedure and Tools / 11.4.3：
Data Storage and Access / 11.5：
Exchange Formats for Metadata and Annotations / 111.5.1：
Data Servers / 111.5.2：
Accessing Annotated Multimodal Data / 111.5.3：
Conclusions and Perspectives / 11.6：
Multimodal Human-Computer and Human-to-Human Interaction / Part III：
Multimodal Input / Natalie Ruiz ; Fang Chen ; Sharon Oviatt12：
Advantages of Multimodal Input Interfaces / 12.1：
State-of-the-Art Multimodal Input Systems / 12.2.1：
Multimodality, Cognition and Performance / 12.3：
Multimodal Perception and Cognition / 12.3.1：
Cognitive Load and Performance / 12.3.2：
Understanding Multimodal Input Behaviour / 12.4：
Theoretical Frameworks / 12.4.1：
Interpretation of Multimodal Input Patterns / 12.4.2：
Adaptive Multimodal Interfaces / 12.5：
Designing Multimodal Interfaces that Manage Users' Cognitive Load / 12.5.1：
Designing Low-Load Multimodal Interfaces for Education / 12.5.2：
Conclusions and Future Directions / 12.6：
MuItimodal Output: Facial Motion, Gestures and Synthesised Speech Synchronisation / Igor S. Pand ić13：
Basic AV Speech Synthesis / 13.1：
The Animation System / 13.3：
Coarticulation / 13.4：
Extended AV Speech Synthesis / 13.5：
Data-Driven Approaches / 13.5.1：
Rule-Based Approaches / 13.5.2：
Embodied Conversational Agents / 13.6：
TTS Timing Issues / 13.7：
On-the-Fly Synchronisation / 13.7.1：
A Priori Synchronisation / 13.7.2：
Interactive Representations of Multimodal Databases / Stéphane Marchand-Maillet ; Donn Morrison ; Enikö Szekely ; Eric Bruno13.8：
Multimodal Data Representation / 14.1：
Multimodal Data Access / 14.3：
Browsing as Extension of the Query Formulation Mechanism / 14.3.1：
Browsing for the Exploration of the Content Space / 14.3.2：
Alternative Representations / 14.3.3：
Commercial Impact / 14.3.4：
Gaining Semantic from User Interaction / 14.4：
Multimodal Interactive Retrieval / 14.4.1：
Crowdsourcing / 14.4.2：
Conclusion and Discussion / 14.5：
Modelling Interest in Face-to-Face Conversations from Multimodal Nonverbal Behaviour / Daniel Catica-Perez15：
Perspectives on Interest Modelling / 15.1：
Computing Interest from Audio Cues / 15.3：
Computing interest from Multimodal Cues / 15.4：
Other Concepts Related to Interest / 15.5：
Concluding Remarks / 15.6：
Index
Preface
Introduction / Jean-Philippe Thiran ; Ferran Marqués ; Hervé Bourlard1：
Signal Processing, Modelling and Related Mathematical Tools / Part I：
85.

図書
図書
85. I. Schur methods in operator theory and signal processing
edited by I. Gohberg
出版情報: Basel : Birkhäuser Verlag, 1986  324 p. ; 24 cm
シリーズ名: Operator theory : advances and applications ; v. 18
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86.

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86. Nonlinear systems : processing of random signals, classical analysis
edited by A.H. Haddad
出版情報: Stroudsburg, Pa. : Dowden, Hutchinson & Ross , [New York] : distributed by Halsted Press, c1975  xiii, 411 p. ; 26 cm
シリーズ名: Benchmark papers in electrical engineering and computer science ; v. 10
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87.

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図書
87. Image recovery : theory and application
edited by Henry Stark
出版情報: Orlando ; Tokyo : Academic Press, 1987  xix, 543 p. ; 24 cm
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88.

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ＥＢ
88. Theoretical foundations of radar location and radio navigation (: electronic bk)
Denis Alexandrovich Akmaykin ... [et al.]
出版情報: [Cham] : SpringerLink, [20--]  1 online resource (xvii, 325 p.)
シリーズ名: Springer aerospace technology ;
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89.

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89. Social signal processing (: electronic bk)
Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli
出版情報:   1 online resource (xii, 428 p.)
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90.

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ＥＢ
90. NMR and macromolecules : sequence, dynamic, and domain structure
James C. Randall, editor
出版情報: [S.l.] : ACS Publications  1 online resource (xiv, 280 p.)
シリーズ名: ACS symposium series ; 247
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