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ICASSP
2008
IEEE
16 years 25 days ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
CGI
2003
IEEE
15 years 11 months ago
Interactive Transfer Function Modification For Volume Rendering Using Compressed Sample Runs
This paper describes a software-based method for interactive transfer function modification. Our approach exploits the fact that, in general, a user will rarely want to modify the...
Vivek Srivastava, Uday Chebrolu, Klaus Mueller
ICIP
2006
IEEE
16 years 8 months ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
ICIP
2003
IEEE
16 years 8 months ago
Reversible integer KLT for progressive-to-lossless compression of multiple component images
In this paper, we presented a method for integer reversible implementation of KLT for multiple component image compression. The progressive-to-lossless compression algorithm emplo...
P. Hao, Q. Shi
VLSID
2005
IEEE
131views VLSI» more  VLSID 2005»
16 years 6 months ago
Efficient Space/Time Compression to Reduce Test Data Volume and Testing Time for IP Cores
Abstract-- We present two-dimensional (space/time) compression techniques that reduce test data volume and test application time for scan testing of intellectual property (IP) core...
Lei Li, Krishnendu Chakrabarty, Seiji Kajihara, Sh...