Friday, February 12, 2010

Lecture video for Feb. 4

Lecture video for Feb. 4 (this is a playlist):



Topic covered: Universal coding for binary sources.

Tuesday, February 9, 2010

Lecture video for Feb. 2

Lecture video for Feb. 2 (this is a playlist):



Topics covered: Review of Shannon-Fano-Elias codes, Arithmetic codes, Introduction to universal codes.

Lecture video for Jan. 28

Lecture video for Jan. 28 (this is a playlist):



Topic covered: Shannon-Fano-Elias codes.

Tuesday, February 2, 2010

Lecture video for Jan. 26

Lecture video for Jan. 26 (this is a playlist):



Topics covered: Huffman codes (first example, Huffman procedure, dyadic example, Huffman codes as prefix codes, nondyadic example, nonbinary example).

Friday, January 29, 2010

Lecture video for Jan. 21

Lecture video for Jan. 21 (this is a playlist):



Topics covered: Average length and entropy (achievability, penalty, source extension), uniquely decodable codes and entropy, McMillan's theorem.

Thursday, January 21, 2010

Lecture video for Jan. 19

Lecture video for Jan. 19 (this is a playlist):



Topics covered: Source codes: definitions and properties, Kraft inequality, Source coding optimization problem, Average length and entropy.

Monday, January 18, 2010

Lecture video for Jan. 14

Lecture video for Jan. 14 (this is a playlist):



Topics covered: Asymptotic Equipartition Property (Weak law of large numbers, Probability and entropy), Typical sets, Properties of typical sets, Source coding and typical sets.

Friday, January 15, 2010

Lecture video for Jan. 12

Lecture video for Jan. 12 (this is a playlist):



Topics covered: Review of entropy, Relative entropy, Jensen's inequality, Proof of the positivity of relative entropy.

Monday, January 11, 2010

Lecture video for Jan. 7

Lecture video for Jan. 7 (this is a playlist):



Topics covered: Information transmission model, source coding examples, self-information and entropy, joint and conditional entropy.

Welcome to CSE 6222

Welcome to the official course blog for CSE 6222, Coding and Information Theory.