Thursday, December 30, 2010

What was the most interesting paper on Compressive Sensing you read in 2010 ?

Answer in the comment section.


Guan said...

T. T. Cai, L. Wang and G. Xu, "New bounds for restricted isometry constants," IEEE Trans. Inf. Theory, vol. 59(6), pp. 4388 - 4394, Sept., 2010.

tibo said...

" in 2010" do not mean published in 2010, right ?

For me, the origin :

E.J. Candes and M.B. Wakin, “An Introduction To Compressive Sampling,” IEEE Signal Processing Magazine, vol. 25, Mar. 2008, pp. 21-30.

An a real application (in my area):

M. Mishali, Y.C. Eldar, O. Dounaevsky, E. Shoshan, “Xampling: Analog to Digital at Sub-Nyquist Rates”, CCIT Report #751 Oct-09, EE Pub No. 1708, EE Dept., Technion - Israel Institute of Technology,

Anonymous said...

"A probabilistic and RIPless theory of compressed sensing" by Emmanuel Candes and Yaniv Plan

Laurent Duval said...

J. T. O'Brien and W. P. Kamp and G. M. Hoover
Sign-bit amplitude recovery with applications to seismic data
Geophysics, 1982

JackD said...

Read in 2010... Well, more than one, sorry...

Challenging Restricted Isometry Constants with Greedy Pursuit, with Peyre, G., and Fadili, J., Proc. of ITW'09, pp.475-479, 2009. ISBN: 978-1-4244-4982-8.

Mark Davenport, Jason Laska, Petros Boufounos, and Richard Baraniuk, A simple proof that random matrices are democratic. (Rice University ECE Department Technical Report TREE-0906, November 2009)

T. Blumensath, M. E. Davies, Iterative hard thresholding for compressed sensing. (Preprint, 2008)

Boufounos P. T., "Universal Rate-Efficient Scalar Quantization"

and, of course, ....

I. Carron, "Nuit Blanche", Blog, 2003-2010.

I wish you a Happy New Year 2011 Igor!

Anonymous said...

"Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine."

Anonymous said...

Real versus complex null space properties for sparse vector recovery

reza said...

Davenport, M.A.; Boufounos, P.T.; Wakin, M.B.; Baraniuk, R.G.; , "Signal Processing With Compressive Measurements," Selected Topics in Signal Processing, IEEE Journal of , vol.4, no.2, pp.445-460, April 2010.