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124
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ICPR
2010
IEEE
15 years 2 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä
90
Voted
DCC
2010
IEEE
15 years 7 months ago
Xampling: Analog Data Compression
We introduce Xampling, a design methodology for analog compressed sensing in which we sample analog bandlimited signals at rates far lower than Nyquist, without loss of informatio...
Moshe Mishali, Yonina C. Eldar
95
Voted
SUTC
2010
IEEE
14 years 11 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...
JEI
1998
94views more  JEI 1998»
15 years 11 days ago
Proximity sensing with wavelet-generated video
In this paper we introduce wavelet video processing of proximity sensor signals. Proximity sensing is required for a wide range of military and commercial applications, including w...
Steven Noel, Harold Szu
117
Voted
ISPD
2010
ACM
163views Hardware» more  ISPD 2010»
15 years 7 months ago
A statistical framework for designing on-chip thermal sensing infrastructure in nano-scale systems
Thermal/power issues have become increasingly important with more and more transistors being put on a single chip. Many dynamic thermal/power management techniques have been propo...
Yufu Zhang, Bing Shi, Ankur Srivastava