数字通信原理（英文版） 电子与电气工程系列
资料介绍
数字通信原理（英文版）
出版时间：2010年版
图灵原版电子与电气工程系列
内容简介
《数字通信原理（英文版）》是世界通信权威、信息领域泰斗RobertG.Gallager博士新作，在数字通信原理的基础上精炼，重点阐述了理论、问题和工程设计之间的关系。内容涉及离散源编码、量化、信道波形、向量空间和信号空间、随机过程和噪声、编码、解码等数字通信基本问题，最后还简单介绍了无线数字通信。《数字通信原理（英文版）》是通信专业高年级本科生和研究生教材，也可供工程技术人员参考。
目录
Preface page xi
Acknowledgements xiv
1 Introduction to digital communication 1
1.1 Standardized interfaces and layering 3
1.2 Communication sources 5
1.2.1 Source coding 6
1.3 Communication channels 7
1.3.1 Channel encoding (modulation) 10
1.3.2 Error correction 11
1.4 Digital interface 12
1.4.1 Network aspects of the digital interface 12
1.5 Supplementary reading 14
2 Coding for discrete sources 16
2.1 Introduction 16
2.2 Fixed-length codes for discrete sources 18
2.3 Variable-length codes for discrete sources 19
2.3.1 Unique decodability 20
2.3.2 Prefix-free codes for discrete sources 21
2.3.3 The Kraft inequality for prefix-free codes 23
2.4 Probability models for discrete sources 26
2.4.1 Discrete memoryless sources 26
2.5 Minimum L for prefix-free codes 27
2.5.1 Lagrange multiplier solution for the minimum L 28
2.5.2 Entropy bounds on L 29
2.5.3 Huffman’s algorithm for optimal source codes 31
2.6 Entropy and fixed-to-variable-length codes 35
2.6.1 Fixed-to-variable-length codes 37
2.7 The AEP and the source coding theorems 38
2.7.1 The weak law of large numbers 39
2.7.2 The asymptotic equipartition property 40
2.7.3 Source coding theorems 43
2.7.4 The entropy bound for general classes of codes 44
2.8 Markov sources 46
2.8.1 Coding for Markov sources 48
2.8.2 Conditional entropy 48
2.9 Lempel
出版时间：2010年版
图灵原版电子与电气工程系列
内容简介
《数字通信原理（英文版）》是世界通信权威、信息领域泰斗RobertG.Gallager博士新作，在数字通信原理的基础上精炼，重点阐述了理论、问题和工程设计之间的关系。内容涉及离散源编码、量化、信道波形、向量空间和信号空间、随机过程和噪声、编码、解码等数字通信基本问题，最后还简单介绍了无线数字通信。《数字通信原理（英文版）》是通信专业高年级本科生和研究生教材，也可供工程技术人员参考。
目录
Preface page xi
Acknowledgements xiv
1 Introduction to digital communication 1
1.1 Standardized interfaces and layering 3
1.2 Communication sources 5
1.2.1 Source coding 6
1.3 Communication channels 7
1.3.1 Channel encoding (modulation) 10
1.3.2 Error correction 11
1.4 Digital interface 12
1.4.1 Network aspects of the digital interface 12
1.5 Supplementary reading 14
2 Coding for discrete sources 16
2.1 Introduction 16
2.2 Fixed-length codes for discrete sources 18
2.3 Variable-length codes for discrete sources 19
2.3.1 Unique decodability 20
2.3.2 Prefix-free codes for discrete sources 21
2.3.3 The Kraft inequality for prefix-free codes 23
2.4 Probability models for discrete sources 26
2.4.1 Discrete memoryless sources 26
2.5 Minimum L for prefix-free codes 27
2.5.1 Lagrange multiplier solution for the minimum L 28
2.5.2 Entropy bounds on L 29
2.5.3 Huffman’s algorithm for optimal source codes 31
2.6 Entropy and fixed-to-variable-length codes 35
2.6.1 Fixed-to-variable-length codes 37
2.7 The AEP and the source coding theorems 38
2.7.1 The weak law of large numbers 39
2.7.2 The asymptotic equipartition property 40
2.7.3 Source coding theorems 43
2.7.4 The entropy bound for general classes of codes 44
2.8 Markov sources 46
2.8.1 Coding for Markov sources 48
2.8.2 Conditional entropy 48
2.9 Lempel