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ICASSP
2009
IEEE
14 years 3 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
13 years 16 days 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
ICIP
2004
IEEE
14 years 10 months ago
JPEG2000 vs. JPEG from an image retrieval point of view
It is well known that JPEG2000 has a variety of advantages over its predecessor JPEG. JPEG2000 not only allows images to be coded with clearly better visual image quality, it also...
Gerald Schaefer
ICC
2008
IEEE
14 years 3 months ago
A Two-Stage Sensing Technique for Dynamic Spectrum Access
—Dynamic spectrum access (DSA) is a promising approach for mitigating spectrum scarcity. Underlying DSA is the need for fast and reliable spectrum sensing over a potentially larg...
Ling Luo, Sumit Roy
SUTC
2010
IEEE
13 years 7 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...