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» Compressed Sensing and Source Separation
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ICASSP
2008
IEEE
14 years 1 months ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...
CISS
2007
IEEE
14 years 1 months ago
Correlated Sources over an Asymmetric Multiple Access Channel with One Distortion Criterion
Abstract— We consider transmission of two arbitrarily correlated sources over a discrete memoryless asymmetric multiple access channel, where one of the sources is available at b...
Deniz Gündüz, Elza Erkip
TIT
2011
113views more  TIT 2011»
13 years 2 months ago
Eigen-Inference for Energy Estimation of Multiple Sources
—This paper introduces a new method to blindly estimate the transmit power of multiple signal sources in multiantenna fading channels, when the number of sensing devices and the ...
Romain Couillet, Jack W. Silverstein, Zhidong Bai,...
INFOCOM
2010
IEEE
13 years 6 months ago
Compressive Oversampling for Robust Data Transmission in Sensor Networks
—Data loss in wireless sensing applications is inevitable and while there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensin...
Zainul Charbiwala, Supriyo Chakraborty, Sadaf Zahe...
ACSC
2004
IEEE
13 years 11 months ago
Lossless Image Compression Using Pixel Reordering
Lossless image compression techniques typically consider images to be a sequence of pixels in row major order. The processing of each pixel consists of two separate operations. Th...
Michael Ciavarella, Alistair Moffat