Principles of Communication Systems

IIT Kanpur, , Prof. Prof. Aditya K. Jagannatham

Updated On 02 Feb, 19

Overview

This course is a sequel to Principles of Communication-Part I and covers fundamental concepts of communication systems, especially focusing on various aspects of modern digital communication systems. However, all the modules in this course will be independent of the previous course and hence students who could not participate in Principles of Communication-Part I will also be able to follow the course. Beginning with the basic theory of digital communication systems pertaining to pulse shaping, modulation and optimal detection, the course will also cover several important digital modulation techniques such as Binary Phase Shift Keying (BPSK), Frequency Shift Keying (FSK), Quadrature Amplitude Modulation (QAM), M-ary Phase Shift Keying (M-PSK) etc. Other fundamental concepts such as Information Theory, Channel Capacity, Entropy Coding and Error Control Coding will be dealt with in the later parts of the course.

This course is suitable for all UG/PG students and practicing engineers/ managers who are looking to enhance their knowledge of the fundamental principles underlying various communication systems as well as students preparing for their college/ university/ competitive exams.

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Lecture 66: Decoding of the Convolutional Code, Minimum Hamming distance and Maximum Likelihood Codeword Estimate

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Course Details

COURSE LAYOUT

Week 1: Basic tools of Digital communication, Transmission Pulse Shaping, Power Spectral Density, Additive White
Gaussian Noise (AWGN) Channel

Week 2: Optimal Receiver Design, Signal-to-Noise Power Ratio (SNR), Matched Filtering (MF)

Week 3: Maximum Likelihood (ML) Receiver, Probability of Error, Binary Phase Shift Keying and associated Prob. of Error,
Amplitude Shift Keying (ASK) and Other Schemes

Week 4: Signal Space Theory, Frequency Shift Keying (FSK), Quadrature Amplitude Modulation (QAM), M-ary Phase Shift
Keying (MPSK) and associated Prob. of Error

Week 5: Introduction to Wireless Communication, Performance of Digital Modulation in Fading Channels, Introduction to
Information Theory, Channel Capacity

Week 6: Source Coding, Entropy Codes, Huffman Coding, Linear Block Codes

Week 7: Hamming Weight and Distance Properties, Syndrome Decoding, Convolutional Codes, Trellis Structure and Decoding
of Convolutional Codes

Week 8: Pulse Shaping Filter Design, Nyquist Pulse Shaping Criterion, Raised-Cosine Filter, Passband-Baseband Equivalence