2013 · 90 citations · 11 references
EngineeringComputer EngineeringComputer ScienceAlgorithmsMessage PassingParallel ComputingChannel CodingCoding TheoryConvex OptimizationDigital Signal ProcessingError Control CodingError-correcting CodesAlternating Direction Method Of MultipliersConvex Polyhedral TheoryDecoding AlgorithmsIterative DecodingLdpc CodesMessage-passing AlgorithmsParity Check CodesParity-check Matrices
In this paper, we propose an efficient message-passing algorithm to solve the LP decoding problem. This algorithm is based on the alternating direction method of multipliers (ADMM), a classic technique in convex optimization theory that is designed for parallel implementation. The computational complexity of ADMM-based LP decoding is largely determined by the method used to project a vector of real values to the parity polytope of a given parity check. The key contribution of this paper is a novel, efficient projection algorithm that can substantially improve the decoding speed of the ADMM-based LP decoder.
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Decomposition Methods for Large Scale LP Decoding
Siddharth Barman, Xishuo Liu, Stark C. Draper et al. · IEEE Transactions on Information Theory · 2013 · 138 citations