Title :
A novel approach to variable dimension vector quantization of harmonic magnitudes
Author_Institution :
Mobile Media Lab., DoCoMo USA Labs, San Jose, CA, USA
Abstract :
Harmonic coders explore the harmonic structure of a given signal to represent it efficiently, and have become quite successful recently where several standardized speech coders are based upon it. Quantization of harmonic magnitudes is an integral component of harmonic coders. Since the harmonic magnitude sequences can be considered as vectors of variable dimension, the technique of variable dimension vector quantization (VDVQ) is highly suitable for their representation. In this paper a novel implementation of VDVQ is described; experimental data show the superiority of the technique which is compared to existent methods.
Keywords :
harmonic analysis; speech coding; vector quantisation; vocoders; harmonic coders; harmonic magnitude sequences; speech coders; variable dimension vector quantization; Code standards; Frequency; Harmonic analysis; Nonlinear filters; Performance analysis; Power harmonic filters; Signal analysis; Signal processing algorithms; Speech coding; Vector quantization;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296955