An analytical gamma mixture based rate-distortion model for lattice vector quantization - Archive ouverte HAL
Communication Dans Un Congrès Année : 2006

An analytical gamma mixture based rate-distortion model for lattice vector quantization

Ludovic Guillemot
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  • PersonId : 757475
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Yann Gaudeau
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Résumé

Here we propose a new blockwise Rate-Distortion (R-D) model dedicated to lattice vector quantization (LVQ) of sparse and structured signals. We first show that the clus- tering properties leads to a distribution of the norm L-alpha of source vectors close to a mixture of Gamma density. From this issue, we derive the joint distribution of vectors as a mix- ture of multidimensional generalized gaussian densities. This data modelling not only allows us to compute more accurate analytical R-D model for LVQ but provides a new theoretical framework to the design of codebooks better suited to data like dead zone LVQ .
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Dates et versions

hal-00121546 , version 1 (21-12-2006)

Identifiants

  • HAL Id : hal-00121546 , version 1

Citer

Ludovic Guillemot, Yann Gaudeau, Saïd Moussaoui, Jean-Marie Moureaux. An analytical gamma mixture based rate-distortion model for lattice vector quantization. Sep 2006, pp.CDROM. ⟨hal-00121546⟩
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