Digital communications
著者
書誌事項
Digital communications
(McGraw-Hill series in electrical and computer engineering, . Communications and signal processing)
WCB/McGraw-Hill, c1995
3rd ed
大学図書館所蔵 全16件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. 899-916) and 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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