25 search results - page 2 / 5 » The MUSIC Algorithm for Sparse Objects: A Compressed Sensing... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, a new class of audio representations is introduced, together with a corresponding fast decomposition algorithm. The main feature of these representations is that th...
ISBI
2007
IEEE
13 years 11 months ago
2007
IEEE
According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the un...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...