Title :
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
fDate :
27 Jun-1 Jul 1994
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;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394618
