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» Biomedical signal compression based on basis pursuit
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ECCV
2008
Springer
15 years 24 days ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICASSP
2008
IEEE
14 years 5 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...
ICIP
2001
IEEE
15 years 14 days ago
On the compression of two-dimensional piecewise smooth functions
It is well known that wavelets provide good non-linear approximation of one-dimensional (1-D) piecewise smooth functions. However, it has been shown that the use of a basis with g...
Pier Luigi Dragotti, Minh N. Do, Rahul Shukla, Mar...
ICASSP
2009
IEEE
14 years 5 months ago
DNA coding using finite-context models and arithmetic coding
The interest in DNA coding has been growing with the availability of extensive genomic databases. Although only two bits are sufficient to encode the four DNA bases, efficient l...
Armando J. Pinho, António J. R. Neves, Carl...
DCC
2001
IEEE
14 years 10 months ago
The Coding-Optimal Transform
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimiz...
Cynthia Archer, Todd K. Leen