Lpcis

Some comments on Noiselets

jackdurden - Aug 5, 2010 It could be doable indeed. I feel more confortable with SS than with randperm nevertheless. But I saw some concentration results on random permutations recently on arxiv that could help.

Some comments on Noiselets

Recently, a friend of mine asked me few questions about Noiselets for Compressed Sensing applications, i.e., in order to create efficient sensing matrices incoherent with signal which are sparse in the Haar/Daubechies wavelet basis.

New class of RIP matrices ?

Igor Carron - May 3, 2010 Laurent, Do you think that g could be behaving like the quantization function in the 1-bit compressive sensing approach of Petros ? http://www.merl.com/reports/docs/TR2010-014.pdf Cheers, Igor.

New class of RIP matrices ?

Wouaw, almost one year and half without any post here…. Shame on me! I’ll try to be more productive with shorter posts now ;-) I just found this interesting paper about concentration properties of submodular function (very common in “Graph Cut” methods for instance) on arxiv:

1000th visit and some Compressed Sensing "humour"

1000th visit and some Compressed Sensing “humour” - Apr 5, 2012 […] http://yetaspblog.wordpress.com/2008/11/23/1000th-visit-and-some-compressed-sensing-humour/ […] #### [pedrock](http:// "pedrock.opiniatre@gmail.com") - Nov 2, 2008 Merci pour le Blogroll ;) Pedrock #### [jackdurden]( "

1000th visit and some Compressed Sensing "humour"

As detected by Igor Carron, this blog has reached its 1000th visit ! Well, perhaps it’s 1000th robot visit ;-) Yesterday I found some very funny (math) jokes on Bjørn’s maths blog about “How to catch a lion in the Sahara desert” with some … mathematical tools.

SPGL1 and TV: Answers from SPGL1 Authors

Following the writing of my previous post, which obtained various interesting comments (many thanks to Gabriel Peyré, Igor Carron and Pierre Vandergheynst), I sent a mail to Michael P. Friedlander and Ewout van den Berg to point them this article and possibly obtain their point of views.

SPGL1 and TV minimization ?

Gabriel Peyré - Aug 1, 2008 Dear Laurent, As far as the Lagrangian formulation is concerned, you can replace the iterative thresholding algorithm proposed by so many researcher (including Figueiredo Nowak and Daubechies et al) by proximal iterations, where the soft thresholding is replaced by some inner iterations of Chambolle ROF algorithm (published in JMIV).

SPGL1 and TV minimization ?

Recently, I was using the SPGL1 toolbox to recover some “compressed sensed” images. As a reminder, SPGL1 implements the method described in “Probing the Pareto Frontier for basis pursuit solutions” of Michael P.

Matching Pursuit Before Computer Science

Igor Carron - Jun 5, 2008 Laurent, When you “was the determination of stresses in frameworks”, did you mean “was the determination of stresses in structures” or “was the determination of structural stress” ?