Title :
A vector quantizer for additive white and colored Gaussian noise channels
Author :
Alajaji, Fady ; Phamdo, Nam
Author_Institution :
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
fDate :
29 Jun-4 Jul 1997
Abstract :
Most of the work on joint source-channel coding deal with discrete channel models. We investigate the design of joint source-channel coding scheme for continuous-amplitude channels. More specifically, we propose a channel-optimized vector quantizer (COVQ) for additive white Gaussian noise (AWGN) and additive colored Gaussian noise (ACGN) channels with soft-decision binary phase-shift keying (BPSK) modulation
Keywords :
Gaussian channels; channel coding; optimisation; phase shift keying; source coding; vector quantisation; BPSK; Gauss-Markov source; VQ; additive colored Gaussian noise channel; additive white Gaussian noise channels; channel-optimized vector quantizer; continuous-amplitude channels; joint source-channel coding; modulation; soft-decision binary phase-shift keying; AWGN; Additive noise; Additive white noise; Binary phase shift keying; Demodulation; Gaussian noise; Iterative algorithms; Memoryless systems; Quantization; Signal to noise ratio;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613450
