81 search results - page 7 / 17 » Reconstruction of sparse signals from distorted randomized m... |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
In this paper, we collect and discuss some of the recent theoretical results on channel identification using a random probe sequence. These results are part of the body of work kno...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose ...
TSP
2008
13 years 7 months ago
2008
We consider the problem of recovering a matrix from its action on a known vector in the setting where the matrix can be represented efficiently in a known matrix dictionary. Conne...