Modulation organized vector quantization, MOR-VQ

Author

Skinnemoen, Harald

Author_Institution

ABB Nera, Billingstad, Norway

fYear

1994

fDate

27 Jun-1 Jul 1994

Firstpage

238

Abstract

Efficient zero-redundancy error protection is possible with joint source and channel coding. The purpose of this work is to study a novel method for the design of a VQ for bandlimited AWGN channels, named MORVQ. Based upon Kohonen learning and the GLA, this method maps codebook vectors to modulation symbols in a robust manner, thereby minimizing source distortion due to channel noise. A VQ can be made considerably more robust when optimized over the modulation set as compared to the Hamming space. Simulation results prove MOR-VQ to be a very simple, yet effective and robust design strategy for robust VQ

Keywords

Gaussian channels; channel coding; encoding; learning (artificial intelligence); modulation coding; neural nets; source coding; vector quantisation; GLA; Hamming space; Kohonen learning; MOR-VQ; bandlimited AWGN channels; channel coding; channel noise; codebook vectors; modulation organized vector quantization; modulation set; modulation symbols; robust VQ; robust design; simulation results; source coding; source distortion; zero-redundancy error protection; AWGN; Additive white noise; Channel coding; Design methodology; Design optimization; Gaussian noise; Modulation coding; Noise robustness; Quadrature amplitude modulation; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on

Conference_Location

Trondheim

Print_ISBN

0-7803-2015-8

Type

conf

DOI

10.1109/ISIT.1994.394978

Filename

394978