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Squeezing the Arimoto–Blahut Algorithm for Faster Convergence

Year: 2010
Type: article
Abstract: The Arimoto-Blahut algorithm for computing the capacity of a discrete memoryless channel is revisited. A so-called “squeezing” strategy is used to design algorithms that preserve its simplicity and monotonic convergence properties, but have provably better rates of convergence.
Author: Yaming Yu
Language: English
Open Access status: green
OpenAlex ID: W2103145132
FWCI: 3.108
Cites: 15
Cited by: 34
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