152 search results - page 4 / 31 » Efficient Projection for Compressed Sensing |
GSN
2009
Springer
13 years 9 months ago
2009
Springer
We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
ICIP
2008
IEEE
13 years 11 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Compressed sensing is applied to multiview image sets and interimage disparity compensation is incorporated into image reconstruction in order to take advantage of the high degree...
DCC
2007
IEEE
14 years 4 months ago
2007
IEEE
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
ICIP
2009
IEEE
13 years 2 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., ...