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Parity check matrices (PCMs) are used to define linear error correcting codes and ensure reliable information transmission over noisy channels.
May 8, 2020 · We propose a simple matrix row manipulation heuristic which alters the PCM, but not the code itself. We apply simulated annealing and greedy ...
This is an experimental prototype for the research about Sparsifying Parity-Check Matrices (paper). We include the propotype that was implemented for testing.
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Parity check matrices (PCMs) are used to define linear error correcting codes and ensure reliable information transmission over noisy channels.
May 21, 2024 · Abstract: Highlights•Simulated annealing and greedy algorithms that obtain PCMs with a small number of ones.•An intuitive approach for ...
This paper presents a new approach to accelerate ML decoding by minimizing the number of ones in the code's underlying matrix representation by formulate ...
Indeed, sparse parity check matrices occur in many of the known constructions of codes, e.g. codes based on bounded degree graphs such as expander codes [35, 36] ...
Missing: Sparsifying | Show results with:Sparsifying
LDPC codes functionally are defined by a sparse parity-check matrix. This sparse matrix is often randomly generated, subject to the sparsity constraints—LDPC ...
Sparsifying Parity-Check Matrices I ^{I} · Key information · Authors: · Published in · Publication details · Authors in the IST community: · José Rui De Matos ...
