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» A First-Order Smoothed Penalty Method for Compressed Sensing
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ICASSP
2009
IEEE
13 years 11 months ago
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Yilun Chen, Yuantao Gu, Alfred O. Hero III
SIAMCO
2010
169views more  SIAMCO 2010»
12 years 11 months ago
Shape Derivative of Drag Functional
Abstract. In the paper compressible, stationary Navier-Stokes (N-S) equations are considered. The model is well-posed, there exist weak solutions in bounded domains, subject to inh...
Pavel I. Plotnikov, Jan Sokolowski
ARTCOM
2009
IEEE
13 years 2 months ago
Adaptive Encoding Algorithm for Multispectral Images
A new adaptive multispectral image compression technique based on the regions identified is proposed. The algorithm is adaptive in the sense that according to the data type class ...
Deepa Sankarapandi
SIAMSC
2010
215views more  SIAMSC 2010»
13 years 3 months ago
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
We propose a fast algorithm for solving the ℓ1-regularized minimization problem minx∈Rn µ x 1 + Ax − b 2 2 for recovering sparse solutions to an undetermined system of linea...
Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang
ICASSP
2008
IEEE
13 years 11 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...