Unit 1
Introduction to Information Theory: Modeling of information sources – source coding theorem – source coding algorithms – modeling of communication channels – channel capacity – bounds on communication.
| Course Name | Information Theory and Coding Techniques |
| Course Code | 15ECE401 |
| Program | B. Tech. in Electronics and Communication Engineering |
| Semester | Seven |
| Year Taught | 2019 |
Introduction to Information Theory: Modeling of information sources – source coding theorem – source coding algorithms – modeling of communication channels – channel capacity – bounds on communication.
Linear block codes: structure – matrix description – Hamming codes. Standard array arithmetic of Galois fields: Integer ring – finite fields based on integer ring – polynomial rings – finite fields based on polynomial rings – primitive elements. structure of finite fields cyclic codes: Structure of cyclic codes – encoding and decoding of cyclic codes.
BCH codes: Generator polynomials in terms of minimal polynomial – Decoding of BCH codes – Reed-Solomon codes – Peterson-Gorenstein – Zierler decoder. Convolutional Codes: Introduction to Convolutional Codes – Basics of Convolutional Code encoding and decoding – Sequential decoding – Viterbi decoding.
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