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

(43:15)

Lec01 消息理論 Overview: The philosophy behind information theory

(22:22)

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

(1:14:16)

Lec21 ion.mp4

(1:54:4)

Intuitively Understanding the KL Divergence

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Lec15 消息理論 3.3.4 Universal Lossless Variable-Length Codes

(27:18)

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

(1:5:39)

Lec02 消息理論 Chapter 1:Introduction

(1:9:59)

Lec05 消息理論 Appendix B:Overview in Probability and Random Processes…

(34:51)

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

(25:54)

Lec28 消息理論 6.3 Rate-distortion theorem AEP for distortion typical set Shannon’s lossy source…

(1:30:5)

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

(43:22)

Lec08 消息理論 Chapter 2：Information Measures for Discrete Systems: 2.1.1 Self-information...

(59:36)

Mod-01 Lec-21 Simulating Coded Modulation

(49:40)

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

(1:34:33)

Lec29 消息理論 6.4 Calculation of the rate-distortion function, 6.4.2 Rate distortion func…

(18:57)

Lec10 消息理論 2.6 Divergence and variational distance

(31:7)

Lec20 消息理論 4.4 Example of Polar Codes for the BEC

(1:4:48)

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

(35:46)