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ICASSP
2009
IEEE
15 years 10 months ago
CMOS compressed imaging by Random Convolution
We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configurat...
Laurent Jacques, Pierre Vandergheynst, Alexandre B...
ICASSP
2011
IEEE
14 years 7 months ago
Generalized Restricted Isometry Property for alpha-stable random projections
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
Daniel Otero, Gonzalo R. Arce
156
Voted
VR
2011
IEEE
171views Virtual Reality» more  VR 2011»
14 years 7 months ago
Leveraging change blindness for redirection in virtual environments
We present change blindness redirection, a novel technique for allowing the user to walk through an immersive virtual environment that is considerably larger than the available ph...
Evan A. Suma, Seth Clark, David M. Krum, Samantha ...
123
Voted
SUTC
2010
IEEE
15 years 2 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...
ICA
2004
Springer
15 years 9 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari