This course is structured as a senior-level design course emphasizing fundamental communication principles and the application of these principles to contemporary analogue and digital communication systems. Students learn basic concepts (both digital and analogue) associated with information, coding, modulation, detection, and signal processing in the presence of noise. They apply these concepts to the design of contemporary communications, and digital telephony such as television, radio, wireless, mobile, and satellite communications.

Significance of digital communication, overview of signals, spectra, probability and random variables, SNR and Eb/No, Sampling and quantization (uniform &non-uniform), Signal to quantization noise ratio (SQNR). Detection of a binary signal in Gaussian noise, Matched filters and correlators, Baye’s decision

criterion, Maximum likelihood detector, Error performance, Inter-symbol interference (ISI), Root raised cosine pulse, Eye-patterns, Equalization techniques.Vectorialrepresentationofsign a l s, G ra m –schmidtorthogonalityprinciple, Performance analysis of M-ary signaling techniques. Error correcting

codes: block codes, design and analysis of convolutional codes, Advanced

techniques for digital communication (e.g. DS-CDMA, FH-CDMA, OFDM, MIMO techniques).

Course Syllabus