Course Details
Subject {L-T-P / C} : EE4405 : Digital Communication { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Dr. Suman Kr. Dey
Syllabus
MODULE-I (7 hours)
Introduction to information theory: Review of probability theory and random processes Uncertainty, information, and entropy Source-coding theorem Lossless Data Compression Algorithms - Prefix coding, Huffman Coding, & Shannon-Fano coding Discrete memoryless channels Mutual information Channel capacity Channel-coding theorem Differential entropy and mutual information for continuous random ensembles Information capacity theorem Rate distortion theory.
MODULE-II (7 hours)
Digital Baseband MOdulation: Review of Sampling theory & Quantization Pulse code modulation (PCM) Noise in PCM systems Linear Prediction Differential PCM (DPCM) Adaptive DPCM (ADPCM) Delta modulation (DM) Adaptive Delta modulation (ADM) Line coding techniques-Binary and multilevel line codes Optimum receiver filter Match Filter Error rate due to channel noise in a match filter receiver.
MODULE-III (13 hours)
Digital Passband MOdulation: Geometric Representation of Signals Conversion of the Continuous AWGN Channel into a Vector Channel Optimum Receivers Using Coherent Detection Probability of Error Bandpass transmission model Digital modulation schemes with coherent detection - Binary amplitude-shift keying (BASK), Binary phase-shift keying (BPSK), QPSK, M-ary PSK (M-PSK), M-ary quadrature amplitude modulation (M-QAM), Binary frequency-shift keying (BFSK), Non-linear modulation schemes- Continuous-phase FSK (CPFSK), minimum shift keying (MSK), Gaussian MSK (GMSK) (Transmitter and receiver structures, Signal constellation diagrams, Probability of error calculation for various modulation schemes in AWGN chan-
nel, BER analysis, & spectral efficiency) Detection of signal with unknown phase Digital modulation schemes with non-coherent detection - BFSK, Differential PSK (DPSK) BER Comparison of Signaling Schemes over AWGN Channels.
MODULE-IV (4 hours)
Signaling over Band-Limited Channels: Intersymbol Interference (ISI) Signal Design for Zero ISI Ideal Nyquist Pulse for Distortionless Baseband Data Transmission Raised-Cosine spectrum Eye diagram Equalization techniques Clock recovery Carrier recovery techniques.
MODULE-VI (5 hours)
Error control coding: Introduction Error control using forward error correction Linear block codes Cyclic codes Convolution codes Optimum decoding of convolution codes.
Course Objectives
- To develop an understanding of information-theoretic capacity limits for distortionless transmission over a noisy channel in a digital communication system.
- To develop an understanding of fundamental operations namely sampling, quantization, and reconstruction required to design a digital communication system.
- To develop an understanding of digital baseband transmission (i.e., PCM, DPCM, DM) and digital passband transmission techniques (i.e., BPSK, QPSK, BFSK, QAM, noncoherent BFSK, DPSK, etc.).
- To develop an understanding of error control coding for reliable data transmission over a noisy channel in a digital communication system.
Course Outcomes
CO1 Understand the random process and the limits set by information theory for distortionless transmission over a noisy channel in a digital communication system. <br />CO2 Acquire knowledge to design and implement baseband transmission schemes and also understand the designing of various waveform coding for digital communication systems. <br />CO3 Acquire knowledge to design and implement passband signaling schemes. <br />CO4 Analyze the performance of various signaling schemes and understand the requirements of error control coding schemes for reliable data transmission over a noisy band-limited channel.
Essential Reading
- Simon Haykin, Digital Communications Systems (An Indian Adaptation), Wiley India Pvt. Ltd , 2021.
- B. P. Lathi, Zhi Ding, Modern Digital and Analog communication Systems, Oxford University Press , 4th Ed., 2017
Supplementary Reading
- Bernard Sklar, Digital Communications: Fundamentals and Applications, Pearson Education , 2nd Ed., 2001.
- John G. Proakis, Masoud Salehi, Digital Communications, McGraw-Hill Education , 5th Ed., 2008.