Robust vector quantization for channels with memory

Author

Whei Chang, Wen ; Iang Hsu, Heng

Author_Institution

Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2001

fDate

2001

Firstpage

239

Abstract

This study presents a Hadamard framework for transmission of vector quantization data over noisy channels. In seeking a faster response, we define classes of index assignments in terms of the Hadamard transform of channel transition probabilities. We also develop an index assignment algorithm that takes into account the intrinsic natures of channel error statistics, and illustrate its performance in vector quantization of Gauss-Markov sources

Keywords

Gaussian processes; Hadamard transforms; Markov processes; channel coding; data communication; error statistics; noise; vector quantisation; Gauss-Markov sources; Hadamard transform; VQ data transmission; channel error statistics; channel transition probability; index assignment algorithm; memory; noisy channels; performance; robust VQ; robust vector quantization; Binary sequences; Data engineering; Decoding; Error correction; Error correction codes; Gaussian channels; Impedance matching; Linearity; Robustness; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on

Conference_Location

Washington, DC

Print_ISBN

0-7803-7123-2

Type

conf

DOI

10.1109/ISIT.2001.936102

Filename

936102

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3277824