260 search results - page 22 / 52 » Compressed Sensing of Analog Signals |
134
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ECCV
2008
Springer
16 years 5 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...
120
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PERVASIVE
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. The paper describes the concept, implementation, and evaluation of a new on-body capacitive sensing approach to derive activity related information. Using conductive text...
167
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TSP
2010
14 years 10 months ago
2010
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
149
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ICIP
2009
IEEE
15 years 1 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., ...
134
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TIT
2010
14 years 10 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 >...