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ICIP
2007
IEEE
14 years 10 months ago
An Efficient Method for Compressed Sensing
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
ICASSP
2010
IEEE
13 years 8 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
ISSPIT
2010
13 years 3 months ago
On the use of compressive sampling for wide-band spectrum sensing
In a scenario where a cognitive radio unit wishes to transmit, it needs to know over which frequency bands it can operate. It can obtain this knowledge by estimating the power spe...
Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
ICASSP
2008
IEEE
14 years 2 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
CISST
2003
120views Hardware» more  CISST 2003»
13 years 10 months ago
Triangle Mesh Compression using B-Spline Curves
We present a new method to compress triangle meshes in a lossless manner. Triangle compression requires compression of the geometry (vertices) as well as the topology (connectivit...
Anshuman Razdan, Vinodth Kumar Mohanam, Gerald E. ...