ENEE 627
Information Theory
Information measures and their properties; entropy, relative entropy and mutual information. Information source models. Lossless data compression: the Kraft inequality, Shannon-Fano and Huffman codes. Typical sequences, asymptotic equipartition property, lossy source coding. Discrete memoryless channels: capacity, channel coding theorem. The additive Gaussian channel. Source coding under a fidelity constraint: rate distortion function and rate distortion theorem.
Prerequisites & course information
Credit Only Granted for: ENEE627 or ENEE721. Formerly: ENEE721. Additional Information: Completing ENEE620 is strongly recommended before taking this course.
Sources
- Course catalogue ↗2026-2027