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An Efficient Variable-Length Code Construction for Iterative Source-Channel Decoding
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0001-9307-484X
2009 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 57, no 7, 2005-2013 p.Article in journal (Refereed) Published
Abstract [en]

We present a novel variable-length code (VLC) construction which exhibits an inherent error correcting capability due to the exclusive presence of codewords with even Hamming weight. Besides error robustness, the proposed code construction features a similar codeword length distribution as Golomb-Rice codes, and therefore, in particular for sources with exponentially distributed symbols, has good source compression properties at the same time. We show that in a source channel coding framework with outer source encoding, inner channel encoding with a recursive convolutional code, and iterative decoding the proposed VLC construction can. lead to significant performance improvements compared to fixed-length source encoding with optimized mappings. In particular, simulation results for the AWGN channel verify that for Gauss-Markov sources a performance close to the theoretical limit can be achieved.

Place, publisher, year, edition, pages
2009. Vol. 57, no 7, 2005-2013 p.
Keyword [en]
Variable-length codes, joint source channel coding, iterative decoding, serially concatenated codes, encoded markov sources, performance analysis, convolutional-codes, concatenated codes, design, redundancy, speech, information
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-18603DOI: 10.1109/tcomm.2009.07.070570ISI: 000267982700021ScopusID: 2-s2.0-68249147426OAI: diva2:336650

QC 20150731

Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2015-07-31Bibliographically approved

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