Date of Award:
5-2020
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Electrical and Computer Engineering
Committee Chair(s)
Chris Winstead
Committee
Chris Winstead
Committee
Zhen Zhang
Committee
Ryan Davidson
Abstract
Communication channels are inherently noisy making error correction coding a major topic of research for modern communication systems. Error correction coding is the addition of redundancy to information transmitted over communication channels to enable detection and recovery of erroneous information. Low-density parity-check (LDPC) codes are a class of error correcting codes that have been effective in maintaining reliability of information transmitted over communication channels. Multiple algorithms have been developed to benefit from the LDPC coding scheme to improve recovery of erroneous information. This work develops a matrix construction that stores the information error probability statistics for a communication channel. This combined with the error correcting capability of LDPC codes enabled the development of the Probabilistic Local Maximum Likelihood Bit Flipping (PLMLBF) algorithm, which is the focus of this research work.
Checksum
c4f136cb9482f58da151c2abc39a7081
Recommended Citation
Mathews, Rejoy Roy, "Decoding LDPC Codes with Probabilistic Local Maximum Likelihood Bit Flipping" (2020). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 7725.
https://digitalcommons.usu.edu/etd/7725
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