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

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

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

(1:14:16)

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

(43:22)

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

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Lec12 馬克思學說之析評 馬恩論民主 (2/3)

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

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Lec15 消息理論 3.3.4 Universal Lossless Variable-Length Codes

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What are Channel Capacity and Code Rate?

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Lec02 消息理論 Chapter 1:Introduction

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Lec01 消息理論 Overview: The philosophy behind information theory

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

(1:9:41)

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

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

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

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

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Lec 12-2 Spectrum Estimation (2/3)

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Lec23 消息理論 5.1 Differential entropy, 5.2 Joint , cond. diff. entrop., diverg. , mutual info

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