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ENGINEERING FACULTY / ELECTRICAL - ELECTRONICS ENGINEERING / EEM4022 - CODING THEORY
GENERAL INFORMATION ABOUT THE COURSE
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Course Objective
provide the basics of Coding and decoding techniques and explain the requirements for coding of information signal and its methods
Brief Content of the Course
Introduction to Coding Theory, Definition of Coding Problem, Source Coding, Modelling of Communication Channels, Linear Block Codes, Hamming Distance, Decoding and Performance of Linear Block Codes, Convolutional Codes, Basic Properties of Convolutional Codes, The Viterbi Algorithm, Other Decoding Algorithms for Convolutional Codes, Bounds on the , Error Probability of Convolutional Codes, Product Codes, ConcatenatedCodes, Turbo Codes, The BCJR Algorithm, Performance of Turbo Codes, Low-Density Parity Check Codes, Coding for Bandwidth-Constrained Channels, Combined Coding and Modulation Trellis-Coded Modulation, Coding and Diversity for Fading Channels
Prerequisites
Course Objectives
Course Objectives
1
Introduce the fundamental concepts in coding theory
2
Provide a comprehensive understanding of linear codes, convolutional codes, product codes, Concatenated Codes, Turbo Codes and other techniques
3
provide an adequate understanding on decoding for various coding methods
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Mathematics and Basic Sciences
Expertise /Field Courses