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Nonlinear Sparse-Graph Codes for Lossy Compression

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2 Author(s)
Gupta, A. ; Dept. of Electr. Eng., Princeton Univ., Princeton, NJ ; Verdu, S.

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.

Published in:

Information Theory, IEEE Transactions on  (Volume:55 ,  Issue: 5 )

Date of Publication:

May 2009

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