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Gosset lattice spherical vector quantizationwith lowcomplexity

Authors :
Deming Zhang
Peter Vary
Bernd Geiser
Hauke Krüger
Hai Ting Li
Source :
ICASSP
Publication Year :
2011
Publisher :
IEEE, 2011.

Abstract

This paper introduces a novel and highly efficient realization of a spherical vector quantizer (SVQ), the “Gosset Low Complexity Vector Quantizer” (GLCVQ). The GLCVQ codebook is composed of vectors that are located on spherical shells of the Gosset lattice E8. A high encoding efficiency is achieved by representing the spherical vector codebook as aggregated permutation codes. Compared to previous algorithms, the computational complexity and memory consumption is further reduced by exploiting the properties of so called classleader root vectors and by a novel approach for the codevector-to- index-mapping. The GLCVQ concept can be generalized to vector dimensions that are multiples of eight. In particular, GLCVQ for 16-dimensional vectors is used in Amd. 6 to ITU-T Rec. G.729.1.

Details

Database :
OpenAIRE
Journal :
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Accession number :
edsair.doi...........eb77ba462efdd18eb339525ef3add76e
Full Text :
https://doi.org/10.1109/icassp.2011.5946446