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ICIP
2007
IEEE
14 years 6 months ago
High Dimension Lattice Vector Quantizer Design for Generalized Gaussian Distributions
LVQ is a simple but powerful tool for vector quantization and can be viewed as a vector generalization of uniform scalar quantization. Like VQ, LVQ is able to take into account sp...
Leonardo H. Fonteles, Marc Antonini
ICIP
1995
IEEE
14 years 6 months ago
A lattice vector quantizer for generalized Gaussian sources
A fixed-rate lattice vector quantizer for generalized Gaussian (GG) sources is presented. By using the contour of counstant probability of a generalized Gaussian source to bound t...
Feng Chen, Zheng Gao, John D. Villasenor
DCC
2007
IEEE
14 years 4 months ago
Multiple-Description Coding by Dithered Delta-Sigma Quantization
We address the connection between the multiple-description (MD) problem and Delta-Sigma quantization. The inherent redundancy due to oversampling in Delta-Sigma quantization, and ...
Jan Østergaard, Ram Zamir
DCC
2001
IEEE
14 years 4 months ago
The Coding-Optimal Transform
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimiz...
Cynthia Archer, Todd K. Leen
JMLR
2010
158views more  JMLR 2010»
12 years 11 months ago
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu