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GSN
2009
Springer
149views Sensor Networks» more  GSN 2009»
15 years 4 months ago
Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks
We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoor...
JC
2007
119views more  JC 2007»
14 years 11 months ago
Deterministic constructions of compressed sensing matrices
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Ronald A. DeVore
101
Voted
ICIP
2009
IEEE
16 years 22 days ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
ICASSP
2008
IEEE
15 years 6 months ago
Approximate lower bounds for rate-distortion in compressive sensing systems
We attempt to quantify the possible gains that can be achieved by examining a rate-distortion competition between a conventional and a compressive sampling solution to data rate r...
Bernard Mulgrew, Michael E. Davies
ICASSP
2010
IEEE
14 years 12 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk