Title :
Noisy channel relaxation for VQ design
Author :
Gadkari, Shrinivas ; Rose, Kenneth
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
We study the structure and design of a vector quantizer (VQ) for robust performance under noisy channel conditions. We develop some new insights about the geometrical structure of such a VQ, and introduce noisy channel relaxation-a novel design approach. In particular, the approach is used to attack two basic problems: (1) optimize the VQ for a given noisy channel; and (2) optimize index assignment while maintaining optimality for the noiseless channel. For problem (1) we show consistent improvements over descent methods at the cost of manageable increase in complexity (by a factor of up to three). For problem (2) we obtain index assignment with a quality significantly better than known methods, but at computational complexity that grows many times slower
Keywords :
computational complexity; noise; optimisation; telecommunication channels; vector quantisation; VQ design; VQ optimisation; computational complexity; descent methods; geometrical structure; index assignment; noiseless channel; noisy channel conditions; noisy channel relaxation; robust performance; vector quantizer; Computational complexity; Convergence; Costs; Error probability; Geometry; Noise robustness; Semiconductor device noise; Speech; Statistics; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.545720