93 search results - page 7 / 19 » Reconstructing sparse signals from their zero crossings |
SPEECH
2008
13 years 6 months ago
2008
The traditional power spectral subtraction algorithm is computationally simple to implement but suffers from musical noise distortion. In addition, the subtractive rules are based...
ISBI
2009
IEEE
14 years 1 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 ...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Future progress in neuroscience hinges on reconstruction of neuronal circuits to the level of individual synapses. Because of the specifics of neuronal architecture, imaging must ...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
— In cognitive radio, spectrum sensing is a key component to detect spectrum holes (i.e., channels not used by any primary users). Collaborative spectrum sensing among the cognit...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...