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113
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
We study the spatial-temporal sampling of a linear diffusion field, and show that it is possible to compensate for insufficient spatial sampling densities by oversampling in tim...
107
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
106
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper, we show how two classical sparse recovery algorithms, Orthogonal Matching Pursuit and Basis Pursuit, can be naturally extended to recover block-sparse solutions for...
104
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
We consider the rate allocation problem for multiple-description quantization of the signal described by an adaptive model with a fixed structure. The source modeling in coding g...
97
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...