EE 572 Basics of Information Coding and Transmission
Introduces the basic notions of quantifying information content using entropy, and establishes lower bounds on file sizes for data compression. Covers commonly used compression methods (Huffman, Lempel-Ziv, etc). Introduces the notion of channel capacity for storage and transmission, and provides an introduction to error correction coding and its role in reliable transmission and storage over error-prone channels
Cross Listed Courses
EE 472 & EE 572