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Thursday, May 15, 2008

CS: Q&A, Noise reduction through CS, reconstruction from undersampled k-t space, L1-minimization methods for Hamilton–Jacobi equations.

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In a previous entry, I mentioned the work of Alexandre d'Aspremont , Laurent El Ghaoui , Michael I. Jordan , Gert Lanckriet featured in...
Wednesday, May 14, 2008

A request to the readers of this blog: Any good E-book reader ?

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Many readers of this blog tell me how nice it is to have filtered and sometimes contextual information on the subject of Compressed Sensing....
1 comment:
Tuesday, May 13, 2008

CS: Solving Helmholtz, Linear Codes, Nonlinear Signal Modeling, Jointly Sparse Signals, Sparse PCA and RIP, Geometrical Study of MP, Cameras tradeoffs

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Tim Lin , an undergraduate student at UBC contacted my last week to let me know about a paper I had not covered and how he and his advisor w...
1 comment:
Saturday, May 10, 2008

Compressed Sensing Meets Machine Learning: Classification via Sparse Representation and Distributed Pattern Recognition

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This Spring, Allen Yang has given a mini course at Berkeley entitled Compressed Sensing Meets Machine Learning. The three lectures are list...
2 comments:
Friday, May 09, 2008

CS: Just Say No to L1, Kernels of random sign matrices, Compressive Sampling and Lossy Compression and other Compressed Sensing Updates

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Muthu Muthukrishnan has new entry in his blog entitled: Compressed sensing: L0, L2 and no L1 . It is a parallel between CoSaMP and another...
Thursday, May 08, 2008

CS: Compressed DNA microarrays and a Compressive Sensing Imager

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Here is an interesting use of sparse measurement matrices by Haris Vikalo , Farzad Parvaresh , S. Misra, and Babak Hassibi in Recovering sp...

Space: What is it good for ? ( Please Draw Me a Satellite Phone )

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You are in the middle of nowhere, how can you let somebody know where you are ? Here is a recipe: Build or buy two of the most advanced geos...
Tuesday, May 06, 2008

CS: UWB detection, SuperCCD and human sampling, Condition for l1 recovery, S-POCS and IHT, Manifold Signal Processing for Radar

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I could not find the full preprint for this but here is a new application for CS. UWB Echo Signal Detection With Ultra-Low Rate Sampling Bas...

CS: Iterative Hard Thresholding for Compressed Sensing and Stagewise Weakly Gradient Pursuits, A necessary and sufficient condition for l1 recovery

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Three new papers from Thomas Blumensath and Mike Davies on two different reconstruction algorithms. Both algorithm are implemented in the ...
2 comments:
Friday, May 02, 2008

CS: Inverse scattering by CS, Equivalence between l1 and l0, James Lee's not-a-blog blog, L1 at TAMU, FPGA for CS

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I had not seen this even though I am very interested in the subject , but CS seems to be taking off in the area of inverse problems in the e...