数字通信原理 自上而下的方法(英文版) 世界图书出版有限公司北京分公司 mobi 下载 网盘 caj lrf pdf txt 阿里云

本书内容全面，易于理解，通过自上而下的反向教学方法来讲授数字通信的基础知识。这种独特的教学方法突出数字通信中的传输问题，在讲述发射机之前先教授接收机的知识。这样做直接切入了数字通信核心问题，使学生能以最少的背景知识快速、直观地进行学习。从解码器的决策问题开始，涵盖不同信道的接收机设计、硬件设计折衷、卷积编码与维特比解码以及带通通信，书中对系统级设计和实际工程应用进行了详细讲授，并且通过大量示例、作业问题和MATLAB仿真练习来帮助读者自学。本书既可作为通信类专业高年级本科生和研究生教材，又可供工程技术人员参考。

Preface

Acknowledgments

List of symbols

List of abbreviati***

1 Introduction and objectives

1.1 The big picture through the OSI layering model

1.2 The topic of this text and some historical perspective

1.3 Problem formulation and preview

1.4 Digital versus ***og communication

1.5 Notation

1.6 A few anecdotes

1.7 Supplementary reading

1.8 Appendix: Sources and source coding

1.9 Exercises

2 Receiver design for discrete-time observati***: First layer

2.1 Introduction

2.2 Hypothesis testing

2.2.1 Binary hypothesis testing

2.2.2 m-ary hypothesis testing

2.3 The Q function

2.4 Receiver design for the discrete time A***N channel

2.4.1 Binary decision for scalar observati***

2.4.2 Binary decision for n-tuple observati***

2.4.3 m-ary decision for -tuple observati***

2.5 Irrelevance and sufficient statistic

2.6 Error probability bounds

2.6.1 Union bound

2.6.2 Union Bhattacharyya bound

2.7 Summary

2.8 Appendix: Facts about matrices

2.9 Appendix: Densities after one-to-one differentiable transformati***

2.10 Appendix: Gaussian random vectors

2.11 Appendix: A fact about ***s

2.12 Appendix: Inner product spaces

2.12.1 Vector space

2.12.2 Inner product space

2.13 Exercises

3 Receiver design for the continuous-time A***N channel: Second layer

3.1 Introduction

3.2 White Gaussian noise

3.3 Observables and sufficient statistics

3.4 Transmitter and receiver architecture

3.5 Generalization and alternative receiver structures

3.6 Continuous-time channels revisited

3.7 Summary

3.8 Appendix: A *** simulation

3.9 Appendix: Dirac-delta-based definition of white Gaussian noise

3.10 Appendix: Thermal noise

3.11 Appendix: Channel modeling,a case study

3.12 Exercises

4 Signal design trade-offs

4.1 Introduction

4.2 Isometric transformati*** applied to the codebook

4.3 Isometric transformati*** applied to the waveform set

4.4 Building intuition about scalability: n versus k

4.4.1 Keeping n fixed as k grows

4.4.2 Growing n linearly with k

4.4.3 Growing n exponentially with k

4.5 Duration,bandwidth,and dimensionality

4.6 Bit-by-bit versus block-orthogonal

4.7 Summary

4.8 Appendix: Isometries and error probability

4.9 Appendix: Bandwidth definiti***

4.10 Exercises

5 Symbol-by-symbol on a pulse train: Second layer revisited

5.1 Introduction

5.2 The ideal lowpass case

5.3 Power spectral density

5.4 Nyquist criterion for orthonormal bases

5.5 Root-raised-cosine family

5.6 Eye diagrams

5.7 Symbol synchronization

5.7.1 Maximum likelihood approach

5.7.2 Delay locked loop approach

5.8 Summary

5.9 Appendix: C2,and Lebesgue integral: A primer

5.10 Appendix: Fourier transform: A review

5.11 Appendix: Fourier series: A review

5.12 Appendix: Proof of the sampling theorem

5.13 Appendix: A review of stochastic processes

5.14 Appendix: Root-raised-cosine impulse resp***e

5.15 Appendix: The picket fence “miracle”

5.16 Exercises

6 Convolutional coding and Viterbi decoding: First layer revisited

6.1 Introduction

6.2 The encoder

6.3 The decoder

*** Bit-error probability

***.1 Counting detours

***.2 Upper bound to Po

6.5 Summary

6.6 Appendix: Formal definition of the Viterbi algorithm

6.7 Exercises

7 Passband communication via up/down conversion: Third layer

7.1 Introduction

7.2 The baseband-equivalent of a passband signal

7.2.1 Analog amplitude modulati***: D***, AM, S***, QAM

7.3 The third layer

7.4 Baseband-equivalent channel model

7.5 Parameter estimation

7.6 Non-coherent detection eot bmosse

7.7 Summary

7.8 Appendix: Relati***hip between real-and complex-valued operati***

7.9 Appendix: Complex-valued random vectors

7.9.1 General statements

7.9.2 The Gaussian case

7.9.3 The circularly symmetric Gaussian case

7.10 Exercises

Bibliography

Index

比克西奥·里莫尔迪（Bixio Rimoldi）是瑞士洛桑联邦理工学院的教授，并曾在美国华盛顿大学、斯坦福大学、麻省理工学院和加州大学伯克利分校任教。里莫尔迪教授是靠前电气电子工程师学会的杰出会士（IEEE Fellow），并曾担任靠前信息论学会的主席。

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编辑推荐

·本书是国际信息论学会前主席所著的极具特色的数字通信入门教材。

·本书通过自上而下的反向教学方法突出数字通信中的传输问题，直接切入了数字通信核心。