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» An Efficient Method for Compressed Sensing
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ICIP
2009
IEEE
13 years 5 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
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., ...
Abdolreza A. Moghadam, Hayder Radha
P2P
2010
IEEE
207views Communications» more  P2P 2010»
13 years 6 months ago
Local Access to Sparse and Large Global Information in P2P Networks: A Case for Compressive Sensing
—In this paper we face the following problem: how to provide each peer local access to the full information (not just a summary) that is distributed over all edges of an overlay ...
Rossano Gaeta, Marco Grangetto, Matteo Sereno
ISBI
2007
IEEE
14 years 1 months ago
Generalized K-T Blast and K-T Sense Using Focuss
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...
Hong Jung, Jaeheung Yoo, Jong Chul Ye
CISS
2008
IEEE
14 years 2 months ago
Compressed channel sensing
—Reliable wireless communications often requires accurate knowledge of the underlying multipath channel. This typically involves probing of the channel with a known training wave...
Waheed Uz Zaman Bajwa, Jarvis Haupt, Gil M. Raz, R...
ICASSP
2010
IEEE
13 years 7 months ago
Compressive sensing and differential image-motion estimation
Compressive-sensing cameras are an important new class of sensors that have different design constraints than standard cameras. Surprisingly, little work has explored the relation...
Nathan Jacobs, S. Schuh, Robert Pless