MMSE decoding for vector quantization over channels with memory

Heng Iang Hsu, Wen-Whei Chang, Xiaobei Liu, Soo Ngee Koh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents memory-enhanced extensions of minimum mean-squared error (MMSE) decoding for vector quantization over noisy channels. We also develop a recursive algorithm for computing the transition probabilities of the Gilbert channel, and illustrate its performance in vector quantization of Gauss-Markov sources under noisy channel conditions. Simulation results indicate that the proposed algorithm enables the implementation of an MMSE decoder with increased robustness to channel errors.

Original languageEnglish
Title of host publication2002 IEEE Speech Coding Workshop
Subtitle of host publicationA Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages74-76
Number of pages3
ISBN (Electronic)0780375491, 9780780375499
DOIs
StatePublished - 1 Jan 2002
EventIEEE Speech Coding Workshop, SCW 2002 - Tsukuba City, Ibaraki, Japan
Duration: 6 Oct 20029 Oct 2002

Publication series

Name2002 IEEE Speech Coding Workshop: A Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings

Conference

ConferenceIEEE Speech Coding Workshop, SCW 2002
CountryJapan
CityTsukuba City, Ibaraki
Period6/10/029/10/02

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    Hsu, H. I., Chang, W-W., Liu, X., & Koh, S. N. (2002). MMSE decoding for vector quantization over channels with memory. In 2002 IEEE Speech Coding Workshop: A Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings (pp. 74-76). [1215728] (2002 IEEE Speech Coding Workshop: A Paradigm Shift Toward New Coding Functions for the Broadband Age, SCW 2002 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCW.2002.1215728