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Nonlinear Sparse-Graph Codes for Lossy Compression of Discrete Nonredundant Sources
2007
2007 IEEE Information Theory Workshop
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We propose a scheme for lossy compression of discrete memoryless sources: The compressor is the decoder of a nonlinear channel code, constructed from a sparse graph. We prove asymptotic optimality of the scheme for any separable (letter-by-letter) bounded distortion criterion. We also present a suboptimal compression algorithm, which exhibits near-optimal performance for moderate block lengths.
doi:10.1109/itw.2007.4313132
fatcat:fknagoh3pnd3hlo77iwobbh45e