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87
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CORR
2008
Springer
161views Education» more  CORR 2008»
14 years 11 months ago
Compressed Sensing of Analog Signals
Abstract--A traditional assumption underlying most data converters is that the signal should be sampled at a rate exceeding twice the highest frequency. This statement is based on ...
Yonina C. Eldar
111
Voted
ICIP
2010
IEEE
14 years 10 months ago
Streaming Compressive Sensing for high-speed periodic videos
The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
M. Salman Asif, Dikpal Reddy, Petros Boufounos, As...
121
Voted
CORR
2011
Springer
259views Education» more  CORR 2011»
14 years 7 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
80
Voted
ICIP
2003
IEEE
16 years 2 months ago
Sensing lena-massively distributed compression of sensor images
We consider the sensor broadcast problem: in our setup, sensors measure each one pixel of an image that unfolds over a field, and broadcast a rate constrained encoding of their me...
Sergio D. Servetto
116
Voted
DCC
2011
IEEE
14 years 7 months ago
Video Compressed Sensing with Multihypothesis
The compressed-sensing recovery of video sequences driven by multihypothesis predictions is considered. Specifically, multihypothesis predictions of the current frame are used to...
Eric W. Tramel, James E. Fowler