150 search results - page 20 / 30 » Compressive sensing for sparsely excited speech signals |
ICIP
2010
IEEE
14 years 9 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...
104
Voted
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...
ISBI
2009
IEEE
15 years 6 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
86
Voted
TSP
2010
14 years 6 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...