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ICIP
2010
IEEE
13 years 6 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...
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 3 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
CORR
2011
Springer
259views Education» more  CORR 2011»
13 years 3 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...
ICIP
2003
IEEE
14 years 10 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
DCC
2011
IEEE
13 years 3 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