| Preface Introduction Part 1 Information Theory Chapter 1 Entropy 1.1 Entropy of a Source 1.2 Properties of Entropy 1.3 Additional Propcrties of Entropy Chapter 2 Noiseless Voding 2.1 Variable Length Encoding 2.2 Huffman Encoding 2.3 The Noiseless Coding Theorem Chapter 3 Noisy Coding 3.1 The Discrete Memoryless Channcl and Conditional Entropy 3.2 Mutual Information and Channel Capacity 3.3 THe Noisy Coding Theorem 3.4 Proof of the Noisy Coding Theorem and Its Strong Converse Part 2 Coding Theory Chapter 4 General Remarks on Codes 4.1 Error Detection and Correction 4.2 Minimum Distance Decoding 4.3 Families of Codes 4.4 Codes and Designs 4.5 The Main Coding Theory Problem Chapter 5 Linear Codes 5.1 Linear Codes and Their Duals 5.2 Weight Sistributions 5.3 Maximum Distance Separable Codes 5.4 Invariant Theory and Self-Dual Codes Chapter 6 Some Linear Codes 6.1 Hamming and Golay Codes 6.2 Reed-Muller Codes Chapter 7 Finite Fields and Cyclic Codes Chapter 8 Some Cyclic Codes Appendix Preliminaries Tables References Symbol Index Index |
内容加载中，请稍后...
商品评论（0条）