Abstract: A fast-converging Monte Carlo Markov chain decoding algorithm for linear codes over binary input memoryless channels is proposed.
Abstract—A fast-converging Monte Carlo Markov chain de- coding algorithm for linear codes over binary input memoryless channels is proposed.
Parallel Monte Carlo Markov Chain Decoding of Linear Codes
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We present a new algorithm for Monte Carlo simulation of the Ising model. The usual serial architecture of a computer is exploited in a novel way, enabling ...
The Markov Chain Monte Carlo (MCMC) method is a statistical almost experimental approach to computing integral using random positions, called samples, whose ...
Jan 29, 2024 · MCMC is a broad class of computational tools for approximating integrals and generating samples from a posterior probability.
Missing: Decoding Codes.
Beyond decoding of error correction codes, Monte Carlo methods, especially those based on Markov chains, have found numerous applications. For example, MCMC- ...
Duration: 10:08
Posted: Jul 30, 2020
Posted: Jul 30, 2020
Missing: Codes. | Show results with:Codes.
Parallel Markov chain Monte Carlo algorithms are useful for computing complex Bayesian models, which does not only lead to a dramatic speedup in computing but ...
Missing: Decoding Codes.
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Researchers from UC San Diego have invented a parallel block Gibbs Monte Carlo Markov chain (MCMC) decoding algorithm for decoding linear codes. They showed ...
1Parallel Monte Carlo Markov Chain Decoding of Linear Codes. J. Huang, and Y. Kim. ISIT, page 2051-2056. IEEE, (2023 ). a year ago by @dblp. show all tags. × ...