19 search results - page 3 / 4 » Turbo reconstruction of structured sparse signals |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structure...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
TIT
2010
13 years 8 hour ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
CORR
2011
Springer
13 years 6 days ago
2011
Springer
The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectral...