81 search results - page 15 / 17 » Reconstruction of sparse signals from distorted randomized m... |
ECCV
2010
Springer
13 years 5 months ago
2010
Springer
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
TSP
2010
13 years 2 months ago
2010
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, we continue our previous work on improving Bandwidth Extension (BWE) of narrowband speech. We have shown that including memory into the parametrization frontend (th...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
INFOCOM
2010
IEEE
13 years 5 months ago
2010
IEEE
—Data loss in wireless sensing applications is inevitable and while there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensin...