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» Compressed Sensing and Source Separation
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ICASSP
2011
IEEE
12 years 11 months ago
Snapshot spectral imaging via compressive random convolution
Spectral imaging is of interest in many applications, including wide-area airborne surveillance, remote sensing, and tissue spectroscopy. Coded aperture spectral snapshot imaging ...
Yao Wu, Gonzalo R. Arce
CORR
2008
Springer
72views Education» more  CORR 2008»
13 years 7 months ago
Lossless Compression with Security Constraints
Secure distributed data compression in the presence of an eavesdropper is explored. Two correlated sources that need to be reliably transmitted to a legitimate receiver are availab...
Deniz Gündüz, Elza Erkip, H. Vincent Poo...
DCC
2007
IEEE
14 years 7 months ago
High-Rate Analysis of Systematic Lossy Error Protection of a Predictively Encoded Source
We consider a first-order Markov source, which is predictively encoded using a DPCM-style encoder. The quantized compressed prediction residual is transmitted over an erasure chan...
Shantanu Rane, David Rebollo-Monedero, Bernd Girod
BSN
2006
IEEE
112views Sensor Networks» more  BSN 2006»
14 years 1 months ago
Source Recovery for Body Sensor Network
To accurately capture clinically relevant episodes with Body Sensor Networks (BSNs), multi-sensor fusion is essential for extracting intrinsic physiological and contextual informa...
Benny P. L. Lo, Fani Deligianni, Guang-Zhong Yang
DCC
2007
IEEE
14 years 7 months ago
Distributed Functional Compression through Graph Coloring
We consider the distributed computation of a function of random sources with minimal communication. Specifically, given two discrete memoryless sources, X and Y , a receiver wishe...
Devavrat Shah, Muriel Médard, Sidharth Jagg...