150 search results - page 11 / 30 » Compressive sensing for sparsely excited speech signals |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compres...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
— We study the inversion of a random field from pointwise measurements collected by a sensor network. We assume that the field has a sparse representation in a known basis. To ...
DCC
2008
IEEE
14 years 7 months ago
2008
IEEE
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing ...