Iterative decoding using optimum soft input - Hard output module

Michael Kerner*, Ofer Amrani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Maximum likelihood sequence estimation (MLSE) in the shape of the Viterbi algorithm, although a strictly hardoutput approach, is utilized for iterative decoding of turbo codes. It is a practical alternative when decoding complexity and speed may be traded for performance.

Original languageEnglish
Pages (from-to)1881-1885
Number of pages5
JournalIEEE Transactions on Communications
Volume57
Issue number7
DOIs
StatePublished - 2009

Funding

FundersFunder number
Ministry of Industry, Trade and Labor

    Keywords

    • Iterative decoding
    • Turbo code

    Fingerprint

    Dive into the research topics of 'Iterative decoding using optimum soft input - Hard output module'. Together they form a unique fingerprint.

    Cite this