93 search results - page 12 / 19 » Reconstructing sparse signals from their zero crossings |
TASLP
2008
13 years 6 months ago
2008
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
ICIP
2008
IEEE
14 years 1 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
We propose in this paper to unify two different ap-
proaches to image restoration: On the one hand, learning a
basis set (dictionary) adapted to sparse signal descriptions
has p...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
CORR
2011
Springer
13 years 1 months 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...