This course introduces students to iterative decoding algorithms and the codes to which they are applied, including Turbo Codes, Low-Density Parity-Check Codes, and Serially-Concatenated Codes. The course will begin with an introduction to the fundamental problems of Coding Theory and their mathematical formulations. This will be followed by a study of Belief Propagation--the probabilistic heuristic which underlies iterative decoding algorithms. Belief Propagation will then be applied to the decoding of Turbo, LDPC, and Serially-Concatenated codes. The technical portion of the course will conclude with a study of tools for explaining and predicting the behavior of iterative decoding algorithms, including EXIT charts and Density Evolution.
serially concatenated codes, aid code design, iterative decoding algorithms, Theory of Computation, iterative decoding, error-correcting codes, EXIT charts, Low-Density Parity-Check Codes, Belief Propagation Serially-Concatenated codes, Algorithms and Data Structures, Density Evolution, Turbo Codes, Cryptography
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