Channel-adaptive scaled vector quantization (CASVQ) for low-cost approximation of COVQ on time-varying channels

Author

Görtz, Norbert

Author_Institution

Inst. for Commun. Eng., Munich Univ. of Technol., Germany

fYear

2001

fDate

2001

Firstpage

262

Abstract

Channel-optimized vector quantization (COVQ) achieves strong quality-improvements over “normal” VQ if the transmission channel is noisy. The problem addressed in this paper is how to limit the memory and complexity requirements on time-varying channels to the extent known from “normal” VQ, with a performance close to that of optimally matched COVQ for all channel conditions

Keywords

adaptive systems; approximation theory; time-varying channels; vector quantisation; channel conditions; channel-adaptive scaled VQ; channel-adaptive scaled vector quantization; channel-optimized vector quantization; codebook; complexity requirements; low-cost approximation; memory requirements; noisy transmission channel; optimally matched COVQ; time-varying channels; Autocorrelation; Current measurement; Decoding; Distortion measurement; Error analysis; Error probability; Gaussian processes; Switches; Time-varying channels; 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.2001.936125

Filename

936125

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3278365