168 search results - page 10 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we investigate the application of compressive sensing and waveform design for estimating linear time-varying system characteristics. Based on the fact that the spre...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
CISS
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...