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An Efficient Joint Source-Channel Decoder with Dynamical Block Priors

Ido Kanter·Haggai Kfir·Shahar Keren
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Abstract

An efficient joint source-channel (s/c) decoder based on the side information of the source and on the MN-Gallager algorithm over Galois fields is presented. The dynamical block priors (DBP) are derived either from a statistical mechanical approach via calculation of the entropy for the correlated sequences, or from the Markovian transition matrix. The Markovian joint s/c decoder has many advantages over the statistical mechanical approach. In particular, there is no need for the construction and the diagonalization of a qXq matrix and for a solution to saddle point equations in q dimensions. Using parametric estimation, an efficient joint s/c decoder with the lack of side information is discussed. Besides the variant joint s/c decoders presented, we also show that the available sets of autocorrelations consist of a convex volume, and its structure can be found using the Simplex algorithm.

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Ido Kanter, Haggai Kfir, Shahar Keren. 2004-12-21. An Efficient Joint Source-Channel Decoder with Dynamical Block Priors. https://doi.org/10.1143/ptps.157.184

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