Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/99898
Type: Artigo de periódico
Title: Using Combinatorial Optimization To Design Good Unit-memory Convolutional Codes
Author: Said Amir
Palazzo Reginaldo
Abstract: A new method to design good unit-memory convolutional codes is presented. It is based on the decomposition of the original problem into two easier subproblems, which can be formulated as optimization problems and solved by new efficient heuristic search algorithms. The efficacy of the new method is demonstrated by a table containing 33 new unit-memory convolutional codes (n, k) with 5 ≤ k ≤ 8, rates R = k/n between 1/4 and 7/9, and complete memory (M = k), as well as 12 new linear block codes. Most of the new codes found have maximum free distance.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/18.256525
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0027597102&partnerID=40&md5=381167f45d4eb6296996e5c724a094ca
Date Issue: 1993
Appears in Collections:Unicamp - Artigos e Outros Documentos

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