ISE 450 - Information Theory

This course introduces students to modeling of information sources and measure of information, joint and conditional entropy, source coding, rate distortion theory, modeling of communication channel and the Channel Capacity Theorem, scalar and vector quantization and coding of discrete information sources.

Credit hours: 3.0

Last updated: 05/28/2019