433 search results - page 16 / 87 » 1-Bit compressive sensing |
104
click to vote
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
108
click to vote
PERCOM
2010
ACM
14 years 10 months ago
2010
ACM
—Data loss in wireless communications greatly affects the reconstruction quality of a signal. In the case of images, data loss results in a reduction in quality of the received i...
114
click to vote
ICIP
2009
IEEE
14 years 9 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., ...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed sensing. This method shows some improvements over standard algo...
103
click to vote
TIT
2010
14 years 6 months ago
2010
In [12] the authors proved an asymptotic sampling theorem for sparse signals, showing that n random measurements permit to reconstruct an N-vector having k nonzeros provided n >...