Title :
Modulation organized vector quantization, MOR-VQ
Author :
Skinnemoen, Harald
Author_Institution :
ABB Nera, Billingstad, Norway
fDate :
27 Jun-1 Jul 1994
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;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394978