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

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Lec01 消息理論 Overview: The philosophy behind information theory

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

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Lec02 消息理論 Chapter 1:Introduction

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

(1:14:16)

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

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

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

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

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Lec10 消息理論 2.6 Divergence and variational distance

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Lec27 消息理論 Chapter 6：Lossy Data Compression and Transmission, 6.1.1 Motivation…

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Lec09 消息理論 2.4 Data processing inequality, 2.5 Fano’s inequality

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

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Lec07 消息理論 B.5 Ergodicity and law of large numbers, B.6 Central limit theorem…

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Lec06 消息理論 B.3 Statistical properties of random sources

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Lec11 消息理論 2.7 Convexity/concavity of information measures, 2.8 Fundamentals …

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

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