168 search results - page 5 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The sparse error correction is intimately related to Compressive Sensing. Exploiting this connection, the paper proposes an error correction scheme pivoted on partial Fourier matr...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...