《信息和编码理论 英文》PDF下载

  • 购买积分:10 如何计算积分?
  • 作  者:GarethA.Jones,J.MaryJones编著
  • 出 版 社:北京:清华大学出版社
  • 出版年份:2009
  • ISBN:9787302214885
  • 页数:210 页
图书介绍:本书介绍信息理论、有限域和线性代数的基本知识,适合用作数学系、计算机科学系和信息科学系本科生高年级必修或选修课程教材或参考书。

1.Source Coding 1

1.1 Definitions and Examples 1

1.2 Uniquely Decodable Codes 4

1.3 Instantaneous Codes 9

1.4 Constructing Instantaneous Codes 11

1.5 Kraft's Inequality 13

1.6 McMillan's Inequality 14

1.7 Comments on Kraft's and McMillan's Inequalities 16

1.8 Supplementary Exercises 17

2.Optimal Codes 19

2.1 Optimality 19

2.2 Binary Huffman Codes 22

2.3 Average Word-length of Huffman Codes 26

2.4 Optimality of Binary Huffman Codes 27

2.5 r-ary Huffman Codes 28

2.6 Extensions of Sources 30

2.7 Supplementary Exercises 32

3.Entropy 35

3.1 Information and Entropy 35

3.2 Properties of the Entropy Function 40

3.3 Entropy and Average Word-length 42

3.4 Shannon-Fano Coding 45

3.5 Entropy of Extensions and Products 47

3.6 Shannon's First Theorem 48

3.7 An Example of Shannon's First Theorem 49

3.8 Supplementary Exercises 51

4.Information Channels 55

4.1 Notation and Definitions 55

4.2 The Binary Symmetric Channel 60

4.3 System Entropies 62

4.4 System Entropies for the Binary Symmetric Channel 64

4.5 Extension of Shannon's First Theorem to Information Channels 67

4.6 Mutual Information 70

4.7 Mutual Information for the Binary Symmetric Channel 72

4.8 Channel Capacity 73

4.9 Supplementary Exercises 76

5.Using an Unreliable Channel 79

5.1 Decision Rules 79

5.2 An Example of Improved Reliability 82

5.3 Hamming Distance 85

5.4 Statement and Outline Proof of Shannon's Theorem 88

5.5 The Converse of Shannon's Theorem 90

5.6 Comments on Shannon's Theorem 93

5.7 Supplementary Exercises 94

6.Error-correcting Codes 97

6.1 Introductory Concepts 97

6.2 Examples of Codes 100

6.3 Minimum Distance 104

6.4 Hamming's Sphere-packing Bound 107

6.5 The Gilbert-Varshamov Bound 111

6.6 Hadamard Matrices and Codes 114

6.7 Supplementary Exercises 118

7.Linear Codes 121

7.1 Matrix Description of Linear Codes 121

7.2 Equivalence of Linear Codes 127

7.3 Minimum Distance of Linear Codes 131

7.4 The Hamming Codes 133

7.5 The Golay Codes 136

7.6 The Standard Array 141

7.7 Syndrome Decoding 143

7.8 Supplementary Exercises 146

Suggestions for Further Reading 149

Appendix A.Proof of the Sardinas-Patterson Theorem 153

Appendix B.The Law of Large Numbers 157

Appendix C.Proof of Shannon's Fundamental Theorem 159

Solutions to Exercises 165

Bibliography 191

Index of Symbols and Abbreviations 195

Index 201