Petros Boufounos has two internships related to compressive sensing at MERL.

If you have a need for an intern who understands compressive sensing, there is a probability she or he reads Nuit Blanche.

Yesterday, on the Twitter, two of you pointed me to some other instances of nonlinear compressive sensing. Alejandro pointed to FROG, while Laurent pointed to phase retrieval from partial Fourier measurements since the solver has to deal with intensities rather than amplitudes. For FROG, I am a little more reserved as indeed one seems to need to use nonlinear measurements but right now I know of no paper that has solved this problem with an explicit sparsity constraint. I recall that it is mentioned in a recent paper, but I have not seen the solver used for that purpose. Maybe I should put out a list of problems I have not seen solved so far.

If you have a need for an intern who understands compressive sensing, there is a probability she or he reads Nuit Blanche.

Yesterday, on the Twitter, two of you pointed me to some other instances of nonlinear compressive sensing. Alejandro pointed to FROG, while Laurent pointed to phase retrieval from partial Fourier measurements since the solver has to deal with intensities rather than amplitudes. For FROG, I am a little more reserved as indeed one seems to need to use nonlinear measurements but right now I know of no paper that has solved this problem with an explicit sparsity constraint. I recall that it is mentioned in a recent paper, but I have not seen the solver used for that purpose. Maybe I should put out a list of problems I have not seen solved so far.

A reader asks when a conference with an emphasis on Compressive Sensing will take place

**The next best thing I can think of is look up the SIVA list of conferences. as I am not aware of a specifically dedicated meeting on the subject within the next 12 months. Maybe some of the readers can help.***in the U.S.*
Next I want to write an entry on the issue of calibration. This is not a sexy subject, but as in many cases with compressive sensing, we need to revisit it and go back to the basics. I recall that calibration was something you would do in high school and relied on least squares apporaches. Well since we are revisiting the least square approach in the form of the l_2 minimization, what about doing the same on this very old subject. It will at least be some sort of compilation of these entries. Let me know if there is an aspect of that that I have not covered yet.

The LinkedIn Compressive Sensing group has more than 1299 members right now, while the Matrix Factroization one has about 176 members. I find it very interesting that there is not much overlap between the two groups.

Finally, as Zhilin pointed out, The ITA meeting is currently taking place in San Diego, you may want to take a look at the presentation abstracts here.

Image Credit: NASA/JPL/Space Science Institute Full-Res: N00181197.jpg

N00181197.jpg was taken on February 05, 2012 and received on Earth February 05, 2012. The camera was pointing toward TITAN at approximately 2,933,044 kilometers away, and the image was taken using the CL1 and CB3 filters.

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## 2 comments:

Check ... Check. It works.

Now you have your genuine Compressive sensing conference in the US in 2012 (albeit a small one):

Compressive Sensing, at SPIE DSS 2012.

Compressive Sensing

Conference Program Track: Imaging and Sensing (View Daily Schedule of Program Track)

Available in print as Proceedings of SPIE Volume 8365

Dates: Thursday-Friday 26 - 27 April 2012

Conference Chair

Fauzia Ahmad, Villanova Univ.

Program Committee

Moeness G. Amin, Villanova Univ.; Abdesselam Salim Bouzerdoum, Univ. of Wollongong (Australia); Rabinder N. Madan, Office of Naval Research; Ram M. Narayanan, The Pennsylvania State Univ.; Athina P. Petropulu, Rutgers, The State Univ. of New Jersey

SIVA Conferences has just been updated, thanks for the boost.

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