44 search results - page 7 / 9 » Variance-component based sparse signal reconstruction and mo... |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
TSP
2010
14 years 4 months ago
2010
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
CGF
2005
14 years 9 months ago
2005
The point set is a flexible surface representation suitable for both geometry processing and real-time rendering. In most applications, the control of the point cloud density is c...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
MICCAI
2008
Springer
15 years 10 months ago
2008
Springer
We propose a novel 1 2-norm inverse solver for estimating the sources of EEG/MEG signals. Based on the standard 1-norm inverse solver, the proposed sparse distributed inverse solve...