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1.

図書
図書
1. Digital communications. 3rd ed
John G. Proakis
出版情報: Boston, Mass. : WCB/McGraw-Hill, c1995  xxi, 928 p. ; 25 cm
シリーズ名: McGraw-Hill series in electrical and computer engineering ; . Communications and signal processing
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2.

図書
図書
2. Digital signal processing : principles, algorithms, and applications. 3rd ed (: international ed)
John G. Proakis, Dimitris G. Manolakis
出版情報: Upper Saddle River, NJ. : Prentice-Hall, c1996  1 v. (various pagings) ; 24 cm
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目次情報: 続きを見る
Introduction / 1：
Discrete-Time Signals and Systems / 2：
The Z-Transform and Its Application to the Analysis of LTI Systems / 3：
Frequency Analysis of Signals and Systems / 4：
The Discrete Fourier Transform: Its Properties and Applications / 5：
Efficient Computation of the DFT: Fast Fourier Transform Algorithms / 6：
Implementation of Discrete-Time Systems / 7：
Design of Digital Filters / 8：
Sampling and Reconstruction of Signals / 9：
Multirate Digital Signal Processing / 10：
Linear Prediction and Optimum Linear Filters / 11：
Power Spectrum Estimation / 12：
Random Signals, Correlation Functions, and Power Spectra / Appendix A：
Random Numbers Generators / Appendix B：
Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters / Appendix C：
List of MATLAB Functions / Appendix D：
References and Bibliography
Index
Introduction / 1：
Discrete-Time Signals and Systems / 2：
The Z-Transform and Its Application to the Analysis of LTI Systems / 3：
3.

図書
図書
3. Digital communications. 3rd ed (: pbk)
John G. Proakis
出版情報: New York ; Tokyo : McGraw-Hill, 1995  xxi, 928 p. ; 24 cm
シリーズ名: McGraw-Hill series in electrical and computer engineering ; . Communications and signal processing
McGraw-Hill international editions ; . Electrical engineering series
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4.

図書
図書
4. Digital communications (text ; solutions manual)
John G. Proakis
出版情報: New York ; Tokyo : McGraw-Hill, c1983  xvi, 608 p. ; 25 cm
シリーズ名: McGraw-Hill series in electrical engineering ; . Communications and information theory
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5.

図書
図書
5. Discrete-time processing of speech signals
John R. Deller, John G. Proakis, John H.L. Hansen
出版情報: New York : Macmillan Pub. Co. , Toronto : Maxwell Maxmillan Canada , New York : Maxwell Macmillan International, c1993  xx, 908 p. ; 25 cm
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6.

図書
図書
6. Contemporary communication systems using MATLAB. 3rd ed (: pbk)
John G. Proakis, Masoud Salehi, Gerhard Bauch
出版情報: Stamford, Conn. : Cengage Learning, c2013  xii, 580 p. ; 24 cm
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7.

図書
図書
7. 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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8.

図書
図書
8. Digital communications. 4th ed
John G. Proakis
出版情報: Boston, Mass. : McGraw-Hill, c2001  xxi, 1002 p. ; 25 cm
シリーズ名: McGraw-Hill series in electrical and computer engineering
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目次情報: 続きを見る
Preface
Introduction / 1：
Elements of a Digital Communication System / 1.1：
Communication Channels and Their Characteristics / 1.2：
Mathematical Models for Communication Channels / 1.3：
A Historical Perspective in the Development of Digital Communications / 1.4：
Overview of the Book / 1.5：
Bibliographical Notes and References / 1.6：
Probability and Stochastic Processes / 2：
Probability / 2.1：
Random Variables, Probability Distributions, and Probability Densities / 2.1.1：
Functions of Random Variables / 2.1.2：
Statistical Averages of Random Variables / 2.1.3：
Some Useful Probability Distributions / 2.1.4：
Upper Bounds on the Tail Probability / 2.1.5：
Sums of Random Variables and the Central Limit Theorem / 2.1.6：
Stochastic Processes / 2.2：
Statistical Averages / 2.2.1：
Power Density Spectrum / 2.2.2：
Response of a Linear Time-Invariant System to a Random Input Signal / 2.2.3：
Sampling Theorem for Band-Limited Stochastic Processes / 2.2.4：
Discrete-Time Stochastic Signals and Systems / 2.2.5：
Cyclostationary Processes / 2.2.6：
Problems / 2.3：
Source Coding / 3：
Mathematical Models for Information Sources / 3.1：
A Logarithmic Measure of Information / 3.2：
Average Mutual Information and Entropy / 3.2.1：
Information Measures for Continuous Random Variables / 3.2.2：
Coding for Discrete Sources / 3.3：
Coding for Discrete Memoryless Sources / 3.3.1：
Discrete Stationary Sources / 3.3.2：
The Lempel-Ziv Algorithm / 3.3.3：
Coding for Analog Sources--Optimum Quantization / 3.4：
Rate-Distortion Function / 3.4.1：
Scalar Quantization / 3.4.2：
Vector Quantization / 3.4.3：
Coding Techniques for Analog Sources / 3.5：
Temporal Waveform Coding / 3.5.1：
Spectral Waveform Coding / 3.5.2：
Model-Based Source Coding / 3.5.3：
Characterization of Communication Signals and Systems / 3.6：
Representation of Band-Pass Signals and Systems / 4.1：
Representation of Band-Pass Signals / 4.1.1：
Representation of Linear Band-Pass Systems / 4.1.2：
Response of a Band-Pass System to a Band-Pass Signal / 4.1.3：
Representation of Band-Pass Stationary Stochastic Processes / 4.1.4：
Signal Space Representations / 4.2：
Vector Space Concepts / 4.2.1：
Signal Space Concepts / 4.2.2：
Orthogonal Expansions of Signals / 4.2.3：
Representation of Digitally Modulated Signals / 4.3：
Memoryless Modulation Methods / 4.3.1：
Linear Modulation with Memory / 4.3.2：
Non-linear Modulation Methods with Memory--CPFSK and CPM / 4.3.3：
Spectral Characteristics of Digitally Modulated Signals / 4.4：
Power Spectra of Linearly Modulated Signals / 4.4.1：
Power Spectra of CPFSK and CPM Signals / 4.4.2：
Power Spectra of Modulated Signals with Memory / 4.4.3：
Problem / 4.5：
Optimum Receivers for the Additive White Gaussian Noise Channel / 5：
Optimum Receiver for Signals Corrupted by Additive White Gaussian Noise / 5.1：
Correlation Demodulator / 5.1.1：
Matched-Filter Demodulator / 5.1.2：
The Optimum Detector / 5.1.3：
The Maximum-Likelihood Sequence Detector / 5.1.4：
A Symbol-by-Symbol MAP Detector for Signals with Memory / 5.1.5：
Performance of the Optimum Receiver for Memoryless Modulation / 5.2：
Probability of Error for Binary Modulation / 5.2.1：
Probability of Error for M-ary Orthogonal Signals / 5.2.2：
Probability of Error for M-ary Biorthogonal Signals / 5.2.3：
Probability of Error for Simplex Signals / 5.2.4：
Probability of Error for M-ary Binary-Coded Signals / 5.2.5：
Probability of Error for M-ary PAM / 5.2.6：
Probability of Error for M-ary PSK / 5.2.7：
Differential PSK (DPSK) and Its Performance / 5.2.8：
Probability of Error for QAM / 5.2.9：
Comparison of Digital Modulation Methods / 5.2.10：
Optimum Receiver for CPM Signals / 5.3：
Optimum Demodulation and Detection of CPM / 5.3.1：
Performance of CPM Signals / 5.3.2：
Symbol-by-Symbol Detection of CPM Signals / 5.3.3：
Suboptimum Demodulation and Detection of CPM Signals / 5.3.4：
Optimum Receiver for Signals with Random Phase in AWGN Channel / 5.4：
Optimum Receiver for Binary Signals / 5.4.1：
Optimum Receiver for M-ary Orthogonal Signals / 5.4.2：
Probability of Error for Envelope Detection of M-ary Orthogonal Signals / 5.4.3：
Probability of Error for Envelope Detection of Correlated Binary Signals / 5.4.4：
Performance Analysis for Wireline and Radio Communication Systems / 5.5：
Regenerative Repeaters / 5.5.1：
Link Budget Analysis in Radio Communication Systems / 5.5.2：
Carrier and Symbol Synchronziation / 5.6：
Signal Parameter Estimation / 6.1：
The Likelihood Function / 6.1.1：
Carrier Recovery and Symbol Synchronization in Signal Demodulation / 6.1.2：
Carrier Phase Estimation / 6.2：
Maximum-Likelihood Carrier Phase Estimation / 6.2.1：
The Phase-Locked Loop / 6.2.2：
Effect of Additive Noise on the Phase Estimate / 6.2.3：
Decision-Directed Loops / 6.2.4：
Non-Decision-Directed Loops / 6.2.5：
Symbol Timing Estimation / 6.3：
Maximum-Likelihood Timing Estimation / 6.3.1：
Non-Decision-Directed Timing Estimation / 6.3.2：
Joint Estimation of Carrier Phase and Symbol Timing / 6.4：
Performance Characteristics of ML Estimators / 6.5：
Channel Capacity and Coding / 6.6：
Channel Models and Channel Capacity / 7.1：
Channel Models / 7.1.1：
Channel Capacity / 7.1.2：
Achieving Channel Capacity with Orthogonal Signals / 7.1.3：
Channel Reliability Functions / 7.1.4：
Random Selection of Codes / 7.2：
Random Coding Based on M-ary Binary-Coded Signals / 7.2.1：
Random Coding Based on M-ary Multiamplitude Signals / 7.2.2：
Comparison of R*[subscript 0] with the Capacity of the AWGN Channel / 7.2.3：
Communication System Design Based on the Cutoff Rate / 7.3：
Block and Convolutional Channel Codes / 7.4：
Linear Block Codes / 8.1：
The Generator Matrix and the Parity Check Matrix / 8.1.1：
Some Specific Linear Block Codes / 8.1.2：
Cyclic Codes / 8.1.3：
Optimum Soft-Decision Decoding of Linear Block Codes / 8.1.4：
Hard-Decision Decoding of Linear Block Codes / 8.1.5：
Comparison of Performance Between Hard-Decision and Soft-Decision Decoding / 8.1.6：
Bounds on Minimum Distance of Linear Block Codes / 8.1.7：
Nonbinary Block Codes and Concatenated Block Codes / 8.1.8：
Interleaving of Coded Data for Channels with Burst Errors / 8.1.9：
Serial and Parallel Concatenated Block Codes / 8.1.10：
Convolutional Codes / 8.2：
The Transfer Function of a Convolutional Code / 8.2.1：
Optimum Decoding of Convolutional Codes--The Viterbi Algorithm / 8.2.2：
Probability of Error for Soft-Decision Decoding / 8.2.3：
Probability of Error for Hard-Decision Decoding / 8.2.4：
Distance Properties of Binary Convolutional Codes / 8.2.5：
Punctured Convolutional Codes / 8.2.6：
Other Decoding Algorithms for Convolutional Codes / 8.2.7：
Practical Considerations in the Application of Convolutional Codes / 8.2.8：
Nonbinary Dual-k Codes and Concatenated Codes / 8.2.9：
Parallel and Serial Concatenated Convolutional Codes / 8.2.10：
Coded Modulation for Bandwidth-Constrained Channels--Trellis-Coded Modulation / 8.3：
Signal Design for Band-Limited Channels / 8.4：
Characterization of Band-Limited Channels / 9.1：
Design of Band-Limited Signals for No Intersymbol Interference--The Nyquist Criterion / 9.2：
Design of Band-Limited Signals with Controlled ISI--Partial-Response Signals / 9.2.2：
Data Detection for Controlled ISI / 9.2.3：
Signal Design for Channels with Distortion / 9.2.4：
Probability of Error in Detection of PAM / 9.3：
Probability of Error for Detection of PAM with Zero ISI / 9.3.1：
Probability of Error for Detection of Partial-Response Signals / 9.3.2：
Modulation Codes for Spectrum Shaping / 9.4：
Communication Through Band-Limited Linear Filter Channels / 9.5：
Optimum Receiver for Channels with ISI and AWGN / 10.1：
Optimum Maximum-Likelihood Receiver / 10.1.1：
A Discrete-Time Model for a Channel with ISI / 10.1.2：
The Viterbi Algorithm for the Discrete-Time White Noise Filter Model / 10.1.3：
Performance of MLSE for Channels with ISI / 10.1.4：
Linear Equalization / 10.2：
Peak Distortion Criterion / 10.2.1：
Mean-Square-Error (MSE) Criterion / 10.2.2：
Performance Characteristics of the MSE Equalizer / 10.2.3：
Fractionally Spaced Equalizers / 10.2.4：
Baseband and Passband Linear Equalizers / 10.2.5：
Decision-Feedback Equalization / 10.3：
Coefficient Optimization / 10.3.1：
Performance Characteristics of DFE / 10.3.2：
Predictive Decision-Feedback Equalizer / 10.3.3：
Equalization at the Transmitter--Tomlinson-Harashima Precoding / 10.3.4：
Reduced Complexity ML Detectors / 10.4：
Iterative Equalization and Decoding--Turbo Equalization / 10.5：
Adaptive Equalization / 10.6：
Adaptive Linear Equalizer / 11.1：
The Zero-Forcing Algorithm / 11.1.1：
The LMS Algorithm / 11.1.2：
Convergence Properties of the LMS Algorithm / 11.1.3：
Excess MSE Due to Noisy Gradient Estimates / 11.1.4：
Accelerating the Initial Convergence Rate in the LMS Algorithm / 11.1.5：
Adaptive Fractionally Spaced Equalizer--The Tap Leakage Algorithm / 11.1.6：
An Adaptive Channel Estimator for ML Sequence Detection / 11.1.7：
Adaptive Decision-Feedback Equalizer / 11.2：
Adaptive Equalization of Trellis-Coded Signals / 11.3：
Recursive Least-Squares Algorithms for Adaptive Equalization / 11.4：
Recursive Least-Squares (Kalman) Algorithm / 11.4.1：
Linear Prediction and the Lattice Filter / 11.4.2：
Self-Recovering (Blind) Equalization / 11.5：
Blind Equalization Based on the Maximum-Likelihood Criterion / 11.5.1：
Stochastic Gradient Algorithms / 11.5.2：
Blind Equalization Algorithms Based on Second- and Higher-Order Signal Statistics / 11.5.3：
Multichannel and Multicarrier Systems / 11.6：
Multichannel Digital Communications in AWGN Channels / 12.1：
Binary Signals / 12.1.1：
M-ary Orthogonal Signals / 12.1.2：
Multicarrier Communications / 12.2：
Capacity of a Nonideal Linear Filter Channel / 12.2.1：
An FFT-Based Multicarrier System / 12.2.2：
Minimizing Peak-to-Average Ratio in the Multicarrier Systems / 12.2.3：
Spread Spectrum Signals for Digital Communications / 12.3：
Model of Spread Spectrum Digital Communication System / 13.1：
Direct Sequence Spread Spectrum Signals / 13.2：
Error Rate Performance of the Decoder / 13.2.1：
Some Applications of DS Spread Spectrum Signals / 13.2.2：
Effect of Pulsed Interference on DS Spread Spectrum Systems / 13.2.3：
Excision of Narrowband Interference in DS Spread Spectrum Systems / 13.2.4：
Generation of PN Sequences / 13.2.5：
Frequency-Hopped Spread Spectrum Signals / 13.3：
Performance of FH Spread Spectrum Signals in an AWGN Channel / 13.3.1：
Performance of FH Spread Spectrum Signals in Partial-Band Interference / 13.3.2：
A CDMA System Based on FH Spread Spectrum Signals / 13.3.3：
Other Types of Spread Spectrum Signals / 13.4：
Synchronization of Spread Spectrum Systems / 13.5：
Digital Communications through Fading Multipath Channels / 13.6：
Characterization of Fading Multipath Channels / 14.1：
Channel Correlation Functions and Power Spectra / 14.1.1：
Statistical Models for Fading Channels / 14.1.2：
The Effect of Signal Characteristics on the Choice of a Channel Model / 14.2：
Frequency-Nonselective, Slowly Fading Channel / 14.3：
Diversity Techniques for Fading Multipath Channels / 14.4：
Multiphase Signals / 14.4.1：
Digital Signaling over a Frequency-Selective, Slowly Fading Channel / 14.4.3：
A Tapped-Delay-Line Channel Model / 14.5.1：
The RAKE Demodulator / 14.5.2：
Performance of RAKE Demodulator / 14.5.3：
Receiver Structures for Channels with Intersymbol Interference / 14.5.4：
Coded Waveforms for Fading Channels / 14.6：
Probability of Error for Soft-Decision Decoding of Linear Binary Block Codes / 14.6.1：
Probability of Error for Hard-Decision Decoding of Linear Binary Block Codes / 14.6.2：
Upper Bounds on the Performance of Convolutional Codes for a Rayleigh Fading Channel / 14.6.3：
Use of Constant-Weight Codes and Concatenated Codes for a Fading Channel / 14.6.4：
System Design Based on the Cutoff Rate / 14.6.5：
Performance of Coded Phase-Coherent Communication Systems--Bit-Interleaved Coded Modulation / 14.6.6：
Trellis-Coded Modulation / 14.6.7：
Multiple-Antenna Systems / 14.7：
Multiuser Communications / 14.8：
Introduction to Multiple Access Techniques / 15.1：
Capacity of Multiple Access Methods / 15.2：
Code-Division Multiple Access / 15.3：
CDMA Signal and Channel Models / 15.3.1：
The Optimum Receiver / 15.3.2：
Suboptimum Detectors / 15.3.3：
Successive Interference Cancellation / 15.3.4：
Performance Characteristics of Detectors / 15.3.5：
Random Access Methods / 15.4：
ALOHA Systems and Protocols / 15.4.1：
Carrier Sense Systems and Protocols / 15.4.2：
The Levinson-Durbin Algorithm / 15.5：
Error Probability for Multichannel Binary Signals / Appendix B：
Error Probabilities for Adaptive Reception of M-Phase Signals / Appendix C：
Mathematical Model for M-Phase Signaling Communication System / C.1：
Characteristic Function and Probability Density Function of the Phase [theta] / C.2：
Error Probabilities for Slowly Rayleigh Fading Channels / C.3：
Error Probabilities for Time-Invariant and Ricean Fading Channels / C.4：
Square-Root Factorization / Appendix D：
References and Bibliography
Index
Preface
Introduction / 1：
Elements of a Digital Communication System / 1.1：
9.

図書
図書
9. Digital communications. 4th ed (: pbk)
John G. Proakis
出版情報: Boston : McGraw-Hill, 2001  xxi, 1002 p. ; 23 cm
シリーズ名: McGraw-Hill series in electrical and computer engineering
McGraw-Hill international editions ; . Electrical engineering series
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10.

図書
図書
10. Communication systems engineering. 2nd ed.
John G. Proakis, Masoud Salehi
出版情報: Upper Saddle River, NJ : Prentice-Hall, c2002  xiv, 801 p. ; 24 cm
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目次情報: 続きを見る
Introduction / 1：
Historical Review
Elements of an Electrical Communication System
Communication Channels and Their Characteristics
Mathematical Models for Communication Channels
Organization of the Book
Frequency Domain Analysis of Signals and Systems / 2：
Fourier Series
Fourier Transforms
Power and Energy
Sampling of Bandlimited Signals
Bandpass Signals
Analog Signal Transmission and Reception / 3：
Introduction to Modulation
Amplitude Modulation (AM). Angle Modulation
Radio and Television Broadcasting
Mobile Radio Stations
Random Processes / 4：
Probability and Random Variables
Random Processes: Basic Concepts
Random Processes in the Frequency Domain
Gaussian and White Processes
Bandlimited Processes and Sampling
Bandpass Processes
Effect of Noise on Analog Communication Systems / 5：
Effect of Noise on Linear-Modulation Systems
Carrier-Phase Estimation with a Phase-Locked Loop (PLL). Effect of Noise on Angle Modulation
Comparison of Analog-Modulation Systems
Effects of Transmission Losses and Noise in Analog Communication Systems
Information Sources and Source Coding / 6：
Modeling of Information Sources
Source-Coding Theorem
Source-Coding Algorithms
Rate-Distortion Theory
Quantization
Waveform Coding
Analysis-Synthesis Techniques
Digital Audio Transmission and Digital Audio Recording
The JPEG Image-Coding Standard
Digital Transmission through the Additive White Gaussian Noise Channel / 7：
Geometric Representation of Signal Waveforms
Pulse Amplitude Modulation
Two-Dimensional Signal Waveforms
Multidimensional Signal Waveforms
Optimum Receiver for Digitally Modulated Signals in Additive White Gaussian Noise
Probability of Error for Signal Detection in Additive White Gaussian Noise
Performance Analysis for Wireline and Radio Communication Channels
Symbol Synchronization
Digital Transmission through Bandlimited AWGN Channels / 8：
Digital Transmission through Bandlimited Channels
The Power Spectrum of Digitally Modulated Signals
Signal Design for Bandlimited Channels
Probability of Error in Detection of Digital PAM. Digitally Modulated Signals with Memory
System Design in the Presence of Channel Distortion
Multicarrier Modulation and OFDM
Channel Capacity and Coding / 9：
Modeling of Communication Channels
Channel Capacity
Bounds on Communication
Coding for Reliable Communication
Linear Block Codes
Cyclic Codes
Convolutional Codes
Complex Codes Based on Combination of Simple Codes
Coding for Bandwidth-Constrained Channels
Practical Applications of Coding
Wireless Communications / 10：
Digital Transmission on Fading Multipath Channels
Continuous Carrier-Phase Modulation
Spread-Spectrum Communication Systems
Digital Cellular Communication Systems
The Probability of Error for Multichannel Reception of Binary Signals / Appendix A：
References
Index
Introduction / 1：
Historical Review
Elements of an Electrical Communication System
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