Talks on Optimization
From Wikimization
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== Highly Undersampled 0-Norm Reconstruction == | == Highly Undersampled 0-Norm Reconstruction == | ||
[http://www.convexoptimization.com/TOOLS/Law.ppt Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008] (771KByte) | [http://www.convexoptimization.com/TOOLS/Law.ppt Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008] (771KByte) | ||
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- | == Advances in Compressive Sensing for MRI == | ||
- | [http://www.convexoptimization.com/TOOLS/SIAM_IS08_short2.ppt Presented by Joshua Trzasko with Armando Manduca at the SIAM Conference on Imaging Science 2008, San Diego, California, July 7, 2008] (15MByte) | ||
== Nonconvex Compressive Sensing == | == Nonconvex Compressive Sensing == | ||
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== Bregman Iterative Algorithms for L1 Minimization with Applications to Compressed Sensing == | == Bregman Iterative Algorithms for L1 Minimization with Applications to Compressed Sensing == | ||
[http://www.convexoptimization.com/TOOLS/sjo-BregmanIteration10-07.ppt Presented by Stanley Osher with W. Yin, D. Goldfarb, & J. Darbon at the iCME Colloquium (CME 500), Stanford University, December 3, 2007] (400KByte) | [http://www.convexoptimization.com/TOOLS/sjo-BregmanIteration10-07.ppt Presented by Stanley Osher with W. Yin, D. Goldfarb, & J. Darbon at the iCME Colloquium (CME 500), Stanford University, December 3, 2007] (400KByte) | ||
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- | == Compressed Sensing: A Tutorial == | ||
- | [http://users.ece.gatech.edu/~justin/ssp2007/ssp07-cs-tutorial.pdf by Justin Romberg & Michael Wakin at IEEE 14th Workshop on Statistical Signal Processing, Madison Wisconsin, August 26, 2007] |
Revision as of 08:46, 3 September 2009
Slides, Powerpoint, and PDF Presentations
Toward 0-norm Reconstruction, and a Nullspace Technique for Compressive Sampling
Also presented by Christine Law with Gary Glover at the Linear Algebra and Optimization Seminar (CME510), iCME, Stanford University, November 19, 2008
Combining Geometry and Combinatorics: A Unified Approach to Sparse Signal Recovery
Presented by Anna Gilbert at the Applied Mathematics Seminar, Stanford University, October 3, 2008
Compressed Sensing with Contiguous Fourier Measurements
Optimization Problems in Compressed Sensing
Compressed Sensing in Astronomy
Highly Undersampled 0-Norm Reconstruction
Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008 (771KByte)