61 search results - page 6 / 13 » Biomedical signal compression based on basis pursuit |
ICIP
2009
IEEE
13 years 8 months ago
2009
IEEE
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
CISS
2011
IEEE
13 years 2 months ago
2011
IEEE
—We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only. Furthermore, we assume that the receivers are...
DCC
1995
IEEE
14 years 2 months ago
1995
IEEE
The use of overcomplete sets of vectors (redundant bases or frames) together with quantization is explored as an alternative to transform coding for signal compression. The goal i...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 + w, where w represents white Gaussian noise and A is a given determin...
IJCNN
2006
IEEE
14 years 5 months ago
2006
IEEE
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...