An improved method to compute lists of binary vectors that optimize a given weight function with application to soft-decision decoding
Article Ecrit par: Valembois, Antoine ; Fossorier, Marc ;
Résumé: Many algorithms, tree-search and decoding algorithms in particular, need to generate some lists of binary vectors by increasing value of a given weight function and without omission. To this end, there are not many alternatives to the Dijkstra and the Viterbi algorithm. In this letter, first, a technique suggested in 1986 by Battail to perform this task is reviewed; then, a new technique is deduced from it, that proves more efficient than all the others. As an illustration of its good performance we compare a maximum-likelihood-decoding (MLD) algorithm that can be derived from it, with current state-of-the-art complete MLD algorithms for general binary linear codes.
Langue:
Anglais