Linear Complexity Lossy Compressor for Binary Redundant Memoryless Sources

Kazushi Mimura

doi:10.1143/jpsj.80.093801

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arXiv · 1107.1609

Linear Complexity Lossy Compressor for Binary Redundant Memoryless Sources

Kazushi Mimura

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Abstract

A lossy compression algorithm for binary redundant memoryless sources is presented. The proposed scheme is based on sparse graph codes. By introducing a nonlinear function, redundant memoryless sequences can be compressed. We propose a linear complexity compressor based on the extended belief propagation, into which an inertia term is heuristically introduced, and show that it has near-optimal performance for moderate block lengths.

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Kazushi Mimura. 2011-07-15. Linear Complexity Lossy Compressor for Binary Redundant Memoryless Sources. https://doi.org/10.1143/jpsj.80.093801

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