A soft decoder vector quantizer for a noisy channel

Author

Skoglund, Mikael ; Hedelin, Per

Author_Institution

Dept. of Inf. Theor., Chalmers Univ. of Technol., Goteborg, Sweden

fYear

1994

fDate

27 Jun-1 Jul 1994

Firstpage

401

Abstract

We present a soft decoder for vector quantization over a binary input AWGN channel. The decoder gives better performance than standard hard decoding without any increased complexity. In designing the decoder, the concepts of soft bits and soft Hadamard columns are introduced

Keywords

Gaussian channels; channel coding; decoding; source coding; vector quantisation; binary input AWGN channel; channel coding; noisy channel; performance; soft Hadamard columns; soft bits; soft decoder vector quantizer; source coding; vector quantization; AWGN channels; Additive white noise; Decoding; Error correction; Error correction codes; Gaussian noise; Information theory; Mean square error methods; Random variables; 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.1994.394618

Filename

394618

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2617728