Elec 540: Source Coding and Compression

Instructor Aria Nosratinia, 2019 Duncan Hall, Ext. 5056, aria@ece.rice.edu
Time Tue-Thu, 10:50am-12:05pm
Place Room 423 Herman Brown Hall
Textbook Gersho & Gray, Vector Quantization and Signal Compression, Kluwer
Grading Two midterms, one final exam, homeworks
Prerequisite One semester of advanced random processes required. One-semester background in Information theory strongly recommended (discuss with instructor).
Office Hours TBA

Efficient communication and storage of information is critical to all aspects of science and technology, especially engineering. Signals, in their original form, are analog and their description in general requires an infinite amount of information. To reduce the requirements on communication bandwidths (or alternatively, the length of storage media), signals are represented in approximate (quantized) form.

This course explores the theory and practice of quantization and compression of signals. Source coding is part of the general theory of communication, and is closely related to proability, random processes, and information theory, as well as signal processing.

Contents:

Aria Nosratinia
Last modified: August 15, 1997