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On the construction and MAP decoding of optimal variable-length error-correcting codes

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4 Author(s)
Ting-Yi Wu ; Dept. of Elec. Eng., Nat. Chiao-Tung Univ., Hsinchu, Taiwan ; Po-Ning Chen ; Alajaji, F. ; Han, Y.S.

In this paper, we present a novel algorithm that guarantees of finding a variable-length error-correcting code (VLEC) with minimal average codeword length for a fixed free distance dfree. We also propose a low complexity maximum a posterior (MAP) decoding algorithm for our codes under the premise that the receiver knows the number of codewords being transmitted. The resulting VLEC provides significant gains over other codes from the literature. When compared with separate source-channel tandem codes with identical dfree, such as a tandem code consisting of a Huffman source code concatenated with a (2, 1, 4) tail-biting convolutional channel code, our system has only a 0.3 dB performance loss at a bit error rate of 10-5 while requiring significantly less decoding complexity.

Published in:

Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on

Date of Conference:

July 31 2011-Aug. 5 2011

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