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Thursday, January 24, 2008

Compressed Sensing: Links, ITA'08 at UCSD and EUSIPCO 2008 in Lausanne

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I have been told by one reader how uneasy it was to find this blog on the subject of compressed sensing. I checked with Google and other sit...
Wednesday, January 23, 2008

Make3D: Depth Information From A Single Shot. Stressing the Algorithm With Other World Views

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In a previous installment, we saw how coded aperture could use specific bayesian priors to infer depth . Ashutosh Saxena went a little fur...
Tuesday, January 22, 2008

Today came close to being when.

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When I saw this picture this morning , I could not help but think about a previous post entitled tracking multiple targets at sea: not a que...

Compressed Sensing: A Lower Bound for the Number of Measurements in Sparse Measurement Matrices ?

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[ Update : see the comment section of this post, Radu Berinde mentions that the bound I am mentioning is satisfied with high probability. T...
7 comments:
Monday, January 21, 2008

Compressed Sensing: Nonlinear Approximation Techniques Using L1 and a Workshop.

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So the L1 revolution is picking up and it will eventually help us solve linear particle transport equations . In the meantime, it looks lik...

Compressed Sensing: Learning Bases from Scratch, an Optical Heterodyning Camera and RandomTime Coded Imaging

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[Somebody at Honeywell is downloading this entry every four seconds. If you are that person, Please stop this] In line with the previous st...
Saturday, January 19, 2008

Compressed Sensing: Utilizing Sparsity in Compressed Sensing Reconstruction Algorithms

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I have tried the Sparse Measurement Matrices of Radu Berinde and Piotr Indyk on a restricted set of examples. It seems to work as well ...
3 comments:
Thursday, January 17, 2008

Compressed Sensing: The slow realization that most events are sparse in EEGs and in Astronomy

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The first step toward the hardware implementation of Compressed Sensing or Compressive Sampling is the realization that the phenomena to be...
Tuesday, January 15, 2008

Monday Morning Algorithm 9: Implementation of Sparse Measurement Matrices for Compressive Sampling

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Ok, so it's not Monday, at least I thought about the algorithm on Monday Morning so there. Last week I mentioned the work of Radu Ber...

Compressed Sensing: Can we do Source Separation with Compressed Measurements ?

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While Blind Source Separation can use sparsity in order to decompose signals in high dimensions, one wonders how this relates to Compressed...