1582 search results - page 39 / 317 » On sparse signal representations |
207
click to vote
TSP
2010
15 years 26 days ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
180
click to vote
ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
164
click to vote
CISS
2008
IEEE
16 years 19 days ago
2008
IEEE
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
186
click to vote
ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We address the problem of blind source separation in the underdetermined and instantaneous mixture case. The proposed method is based on an algorithm developed by Aissa-El-Bey and...
170
click to vote
CISS
2010
IEEE
14 years 9 months ago
2010
IEEE
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...