2019年5月16日
[Information Theory] L5: Entropy and Data Compression (IV): Shannon's Source Coding Theorem, Symbol Codes and Arithmetic Coding
摘要： https://github.com/GNOME/dasher 阅读全文
posted @ 2019-05-16 11:06 ecoflex 阅读(207) 评论(0) 推荐(0) 编辑
[Information Theory] L4: Entropy and Data Compression (III): Shannon's Source Coding Theorem, Symbol Codes
摘要： https://en.wikipedia.org/wiki/Huffman_coding 阅读全文
posted @ 2019-05-16 10:45 ecoflex 阅读(405) 评论(0) 推荐(0) 编辑
[Information Theory] L3: Entropy and Data Compression (II): Shannon's Source Coding Theorem, The Bent Coin Lottery
摘要： 阅读全文
posted @ 2019-05-16 10:19 ecoflex 阅读(385) 评论(0) 推荐(0) 编辑
[Information Theory] L2: Entropy and Data Compression (I): Introduction to Compression, Inf.Theory and Entropy
摘要： x => the outcome 6v6 => 1bit 5v5 => 1.48bit 4v4 => log_2(3) = 1.58bit 3v3 => 1.5bit 阅读全文
posted @ 2019-05-16 10:04 ecoflex 阅读(152) 评论(0) 推荐(0) 编辑
[Information Theory] L1: Introduction to Information Theory
摘要： http://www.inference.org.uk/mackay/itprnn/ http://videolectures.net/course_information_theory_pattern_recognition/ 1948, Shanon's fundamental problem: 阅读全文
posted @ 2019-05-16 08:53 ecoflex 阅读(189) 评论(0) 推荐(0) 编辑