Digital communications
著者
書誌事項
Digital communications
（McGraw-Hill series in electrical and computer engineering, . Communications and signal processing）（McGraw-Hill international editions, . Electrical engineering series）
McGraw-Hill, 1995
3rd ed
- : pbk
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注記
Bibliography: p. 899-916
Includes index
内容説明・目次
内容説明
This text provides an introduction to the analysis and design of digital communication systems. The third edition has been updated with a discussion of modern technological advances, providing coverage of such topics as digital modulation and demodulation techniques, source coding, channel coding and decoding, spread spectrum signals, channel equilization, multiuser communications, and modulation and coding for fading multipath channels. In addition, the book has been reorganized so that each chapter builds on previous material, begins with an introduction to the history and classification of channel models and reviews important topics in probability and stochastic processes. The book features over 300 end-of-chapter homework problems, end-of-chapter bibliographies and references, and hundreds of worked examples and illustrations. Designed for senior- and graduate-level classes, this text is also intended as a reference for practising engineers.
目次
- Part 1 Introduction: elements of a communication system
- elements of a digital communication system
- communication channels and their characteristics
- mathematical models for communication channels
- a historical perspective in the development of digital communications
- overview of the book. Part 2 Probability and stochastic processes: probability
- stochastic processes. Part 3 Source coding: mathematical models for information
- a logarithmic measure of information
- coding for discrete sources
- coding for analogue sources-optimum quantization
- coding techniques for analogue sources. Part 4 Characteriztion of communication signals and systems: representation of bandpass signals and systems
- signal space representation
- representation of digitally modulated signals
- spectral characteristics of digitally modulated signals. Part 5 Optimum receivers for the additive white Gaussian noise channel: optimum receiver for signals corrupted by AWGN
- performance of the optimum receiver for memoryless modulation
- optimum receiver for CPM signals
- optimum receiver for signals with random phase in AWGN channel
- regenerative repeaters and link budget analysis. Part 6 Carrier and symbol synchronization: signal parameter estimation
- carrier phase estimation
- symbol timing estimation
- joint estimation of carrier phase and symbol timing
- performance characteristics of ML estimators. Part 7 Channel models and capacity coding: channel models and channel capacity
- random selection of codes
- communication system design based on the cutoff rate. Part 8 Block and convolutional channel codes: linear block codes
- convolutional codes
- coded modulation for bandwidth-constrained channels. Part 9 Signal design for band-limited channels: characterization of band-limited channels
- signal design for band-limited channels
- probability of error in detection of PAM
- modulation codes for spectrum shaping. Part 10 Communication through band-limited linear filter channels: optimum receiver for channels with ISI and AWGN
- linear equalization
- decision-feedback equalization. Part 11 Adapative equalization: adaptive linear equalizer
- adaptive decision-feedback equalizer
- an adaptive channel estimate for MLSE. (Part contents).
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