B.Tech Electronics and Electrical Engineering

EE 332                          Digital Communications                         3-0-0-6

Syllabus: Introduction to digital communication: communication sources, communication channels, digital interfaces; Source coding: entropy, lossless and lossy codes, fixed and variable length codes; Kraft’s inequality, Huffman code; scalar quantization, Lloyd-Max algorithm; Information theoretic limits: mutual information, capacity of the discrete-time AWGN channel; source and channel coding theorems; Geometric representation of signal waveforms: Gram-Schmidt procedure for baseband and bandpass signal representation, constellations. Modulation and demodulation: orthogonal, biorthogonal, and differential modulations; Detection: hypothesis testing basics; coherent and noncoherent receiver structures, probability of error; Differential modulation schemes, receiver structure and error performance, optimal reception in AWGN; Performance analysis of Maximum Likelihood (ML) reception; Channel equalization: Maximum likelihood sequence estimation (MLSE), linear equalization and adaptive implementations, decision feedback equalization (DFE), performance analysis of MLSE and DFE; Channel Coding: Linear block codes, minimum distance principle, parity check coding; Convolution codes, free distance and error distribution, hard decision decoding and soft decision decoding, maximum likelihood sequence estimator, iterative decoding. 

Texts

1. G. Gallager, Principles of Digital Communications. Cambridge University Press, 2009.
2. Madhow, Fundamentals of Digital Communication. Cambridge University Press, 2009.

References

1. Lapidoth, A Foundation in Digital Communication. Cambridge University Press, 2009.
2. G. Proakis and M. Salehi, Digital Communications. McGraw-Hill Education, 2007.
3. Sklar and P. K. Ray, Digital Communication: Fundamentals and Applications, 2nd edition. Pearson, 2009.