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» Matrix-Valued Filters as Convex Programs
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SCALESPACE
2005
Springer
13 years 10 months ago
Matrix-Valued Filters as Convex Programs
Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and effic...
Martin Welk, Florian Becker, Christoph Schnör...
ICA
2010
Springer
13 years 4 months ago
Double Sparsity: Towards Blind Estimation of Multiple Channels
We propose a framework for blind multiple filter estimation from convolutive mixtures, exploiting the time-domain sparsity of the mixing filters and the disjointness of the sources...
Prasad Sudhakar, Simon Arberet, Rémi Gribon...
SIAMJO
2010
136views more  SIAMJO 2010»
12 years 11 months ago
A New Exchange Method for Convex Semi-Infinite Programming
In this paper we propose a new exchange method for solving convex semi-infinite programming (CSIP) problems. We introduce a new dropping-rule in the proposed exchange algorithm, wh...
Liping Zhang, Soon-Yi Wu, Marco A. López
ICNSC
2008
IEEE
13 years 11 months ago
Robust Variance Constrained Filter Design for Systems with Non-Gaussian Noises
In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
Fuwen Yang, Yongmin Li, Xiaohui Liu
TIT
2010
130views Education» more  TIT 2010»
12 years 11 months ago
The power of convex relaxation: near-optimal matrix completion
This paper is concerned with the problem of recovering an unknown matrix from a small fraction of its entries. This is known as the matrix completion problem, and comes up in a gr...
Emmanuel J. Candès, Terence Tao