Lec31 消息理論 6.6 Shannon limit of communication systems(2/2)

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Lec03 消息理論 Appendix A:Overview on Suprema and Limits A.1-A.4

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Lec16 消息理論 Chapter 4:Data Transmission and Channel Capacity: 4.3 Block codes…

(42:15)

Lec35 消息理論 Chapter 4:Channel Coding Theorems and Approximations of Output Statistics for…

(1:14:16)

Lec18 消息理論 4.3 Block codes for data transmission over DMCs(3/3)

(31:22)

Lec04 消息理論 Review A.1-A.4, A.5 Equivalence

(35:46)

Lec17 消息理論 4.3 Block codes for data transmission over DMCs(2/3)

(58:43)

Lec21 消息理論 4.6 Lossless joint source-channel coding and Shannon’s separation principle

(43:15)

Lec30 消息理論 Chapter 6：Lossy Data Compression and Transmission, 6.5 Lossy joint source-channel…

(25:54)

Lec01 消息理論 Overview: The philosophy behind information theory

(22:22)

Lec19 消息理論 4.5 Calculating channel capacity, 4.5.1 Symmetric, Weakly Symmetric…

(43:22)

Lec34 消息理論 Chapter 3:Measure of Randomness for Stochastic Processes

(1:5:39)

Lec10 消息理論 2.6 Divergence and variational distance

(31:7)

Lec12 消息理論 Chapter 3：Lossless Data Compression: 3.1 Principles of data compression

(1:34:33)

2 信息量和熵

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Lec24 消息理論 5.3 AEP for continuous memoryless sources, 5.4 Capacity for discrete…

(1:6:)

Lec22 消息理論 Chapter 5：Differential Entropy and Gaussian Channels: 5.1 Differential entropy

(30:49)

Lec02 消息理論 Chapter 1:Introduction

(1:9:59)

Lec15 消息理論 3.3.4 Universal Lossless Variable-Length Codes

(27:18)