On Maximum-Likelihood Decoding of Time-Varying Trellis Codes

Wenhui Li, Vladimir Sidorenko, Thomas Jerkovits, Gerhard Kramer

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

Decoding complexity of convolutional and trellis codes by Viterbi decoder can be reduced by applying suggested merging algorithm to the Forney code trellis. The algorithm can be applied for every trellis section separately, which is convenient for time-varying codes, and it outputs the minimal trellis of the section. In case of convolutional codes, the same minimal trellis of every section can be obtained from the syndrome trellis of proposed split code.

OriginalspracheEnglisch
Titel2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten104-109
Seitenumfang6
ISBN (elektronisch)9781728119441
DOIs
PublikationsstatusVeröffentlicht - Okt. 2019
Veranstaltung16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019 - Moscow, Russland
Dauer: 21 Okt. 201925 Okt. 2019

Publikationsreihe

Name2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019

Konferenz

Konferenz16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019
Land/GebietRussland
OrtMoscow
Zeitraum21/10/1925/10/19

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