Abstract / truncated to 115 words (read the full abstract)

Error control coding is an essential part of modern communications systems. LDPC codes have been demonstrated to offer performance near the fundamental limits of channels corrupted by random noise. Optimal maximum likelihood decoding of LDPC codes is too complex to be practically useful even at short block lengths and so a graph-based message passing decoder known as the belief propagation algorithm is used instead. In fact, on graphs without closed paths known as cycles the iterative message passing decoding is known to be optimal and may converge in a single iteration, although identifying the message update schedule which allows single-iteration convergence is not trivial. At finite block lengths graphs without cycles have poor minimum distance ... toggle 5 keywords

ldpc codes design of structured graphs decoding algorithms inference on graphs message passing techniques.


Healy, Cornelius Thomas
University of York
Publication Year
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Jan. 27, 2015

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