Course Description

Course CodeCourse NameCreditsHours
3625001 Communication Theory 3.0 3
Description 1. Introduction 2. Mathematical Preliminaries - Probability - Random processes: autocorrelation function and power spectral density, Gaussian processes, white noise - Orthonormal expansions and linear filtering - Sampling and quantization 3. Optimal Receiver Design - Geometric interpretation of signals - MAP and ML receiver principles - Matched filters - Probability of error 4. Digital Modulation and Multiplexing - Digital modulation: ASK, PSK, QAM, FSK - Digital modulation tradeoffs: error probability, power, bandwidth and complexity - Multiplexing: FDMA, TDMA and CDMA 5. Introduction to Information Theory - Source coding and entropy - Channel coding and capacity