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Memory-efficient decoding of LDPC codes

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dc.contributor.author Kwok-San Lee, Jason
dc.contributor.author Thorpe, Jeremy
dc.contributor.author Hawkins, Jon
dc.date.accessioned 2006-07-13T20:24:53Z
dc.date.available 2006-07-13T20:24:53Z
dc.date.issued 2005-09
dc.identifier.citation IEEE International Symposium on Information Theory, Adelaide, Australia, September 2005. en
dc.identifier.clearanceno 05-0685
dc.identifier.uri http://hdl.handle.net/2014/39500
dc.description.abstract We present a low-complexity quantization scheme for the implementation of regular (3,6) LDPC codes. The quantization parameters are optimized to maximize the mutual information between the source and the quantized messages. Using this non-uniform quantized belief propagation algorithm, we have simulated that an optimized 3-bit quantizer operates with 0.2dB implementation loss relative to a floating point decoder, and an optimized 4-bit quantizer operates less than 0.1dB quantization loss. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 1540899 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. en
dc.subject Low-Density-Parity-Check (LDPC) en
dc.subject quantization en
dc.subject channel capacity en
dc.title Memory-efficient decoding of LDPC codes en
dc.type Preprint en


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