Digital Communications

digital communication principles, how to translate information into a digital signal to be transmitted and how to retrieve the information back from the received signal in the presence of noise and inter-symbol interference (ISI), Baseband Pulse transmission; Matched filters; Intersymbol Interference; Nyquist Criterion for distortionless baseband binary transmission; Signal Space Analysis: Geometric representation of signals; likelihood functions; coherent detection of signals in noise: ML and MAP decoding rules, the correlation receiver. Probability of error calculation – Pass-band Digital Transmission: Description of ASK, FSK, PSK, DPSK, QAM, MSK modulation schemes - their implementation PSD c/cs - B.W efficiency (spectral efficiency) - performance in AWGN channels, an introduction to information measures and properties: entropy; mutual information; conditional entropy; conditional mutual information; source encoding; and spread spectrum communications.