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Generation of binary vectors that optimize a given weight function with application to soft-decision decoding

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2 Author(s)
A. Valembois ; Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA ; M. Fossorier

Many decoding algorithms need to compute some lists of binary vectors that minimize a given weight function. Furthermore, it is often desirable that these vectors are generated by increasing weight. The considered weight function is usually decreasing in the a priori likelihood that the vector yields correct decoding. We present a new technique to generate candidates for error patterns from the most a priori likely to the least, that proves significantly more efficient than any other known method

Published in:

Information Theory Workshop, 2001. Proceedings. 2001 IEEE

Date of Conference: