EE274: Data Compression, course notes
1.
Lossless data compression: basics
1.1.
Introduction
1.2.
Prefix Free Codes
1.3.
Kraft Inequality
1.4.
Entropy and Neg-log likelihood thumb rule
1.5.
Huffman coding
1.6.
Asymptotic Equipartition Property
1.7.
Arithmetic coding
1.8.
Asymmetric Numeral Systems
1.9.
Non IID Sources and Entropy Rate
1.10.
Context-based coding
2.
Lossy data Compression
2.1.
Basics and Quantization
2.2.
Rate-Distortion Theory
2.3.
Transform Coding Theory
3.
Resources
4.
Homeworks
4.1.
HW1
4.2.
HW1 Solution
4.3.
HW2
4.4.
HW2 Solution
4.5.
HW3
4.6.
HW3 Solution
4.7.
HW4
5.
Project
6.
SCL Tutorial
6.1.
SCL Basics
6.2.
SCL Exercise
Lossy data compression
The second set of lecture notes pertains to lossy data compression
Vector Quantization
Rate-Distortion Theory
Transform Coding Theory