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• W1769488933 abstract "The paper proposes Monte Carlo algorithms for the computation of the information rate of two-dimensional source/channel models. The focus of the paper is on binary-input channels with constraints on the allowed input configurations. The problem of numerically computing the information rate, and even the noiseless capacity, of such channels has so far remained largely unsolved. Both problems can be reduced to computing a Monte Carlo estimate of a partition function. The proposed algorithms use tree-based Gibbs sampling and multilayer (multitemperature) importance sampling. The viability of the proposed algorithms is demonstrated by simulation results." @default.
• W1769488933 created "2016-06-24" @default.
• W1769488933 creator A5051479034 @default.
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• W1769488933 date "2011-05-27" @default.
• W1769488933 modified "2023-09-27" @default.
• W1769488933 title "Monte Carlo Algorithms for the Partition Function and Information Rates of Two-Dimensional Channels" @default.
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• W1769488933 hasPublicationYear "2011" @default.
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