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

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Lec01 消息理論 Overview: The philosophy behind information theory

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

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

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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…

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

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Lec15 消息理論 3.3.4 Universal Lossless Variable-Length Codes

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Lec10 消息理論 2.6 Divergence and variational distance

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

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Integrating Information Theory in Agent-Based Crowd Simulation Behavior Models

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ITSOC School of Information Theory 2010: Ruediger Urbanke, Part 1

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

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Information Theory Tutorial: Mutual Information

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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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Math 574, Lesson 4-5: Mutual Information

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