Joint source-channel decoding of entropy coded Markov sources over binary symmetric channels

K. P. Subbalakshmi, Jacques Vaisey

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This paper proposes an optimal joint source-channel, maximum a posteriori, decoder for entropy coded Markov sources transmitted over noisy channels. We introduce the concept of incomplete and complete states to deal with the problem of variable length source codes in the decoder. The proposed decoder is sequential, thereby making the expected delay finite. When compared to the traditional decoder, the proposed decoder shows a maximum improvement, of about 4dB in a modified signal to noise ratio and an improvement of 21.95% in percentage of bits that are received in an out of synchronization condition, for a simple test source.

Original languageEnglish
Pages (from-to)446-450
Number of pages5
JournalConference Record - International Conference on Communications
Volume1
StatePublished - 1999

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