Computer Networks

Multimedia Networking

Data Compression and Information Theory

Signals & Systems I

Signals & System II

Probability and Random Signals


 


Data Compression and Information Theory

This course covers data compression techniques and basic information theory

Topics:

  • Basic nformation theory
  • Entropy coding
  • Huffman coding
  • Run-length, Golomb, and Tunstall coding
  • Arithmetic coding part
  • Dictionary coding
  • Context coding
  • Quantization and lossy image compression
  • Vector quantization
  • Nearest Neighbor Search
  • Predictive coding and Transform coding
  • Wavelet
  • EZW