93 search results - page 5 / 19 » Reconstructing sparse signals from their zero crossings |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This paper concerns the reconstruction of a temporally-varying scene from a video sequence of noisy linear projections. Assuming that each video frame is sparse or compressible in...
NIPS
2008
13 years 8 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
TIT
2010
13 years 1 months ago
2010
Wideband analog signals push contemporary analog-to-digital conversion systems to their performance limits. In many applications, however, sampling at the Nyquist rate is inefficie...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...