# Compressed sensing

## Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

Highly Cited

2010

Highly Cited

2010

- ArXiv
- 2010

This article presents novel results concerning the recovery of signals from undersampled data in the common situation where suchâ€¦Â (More)

Is this relevant?

Highly Cited

2009

Highly Cited

2009

- IEEE Transactions on Signal Processing
- 2009

We address the problem of reconstructing a multiband signal from its sub-Nyquist pointwise samples, when the band locations areâ€¦Â (More)

Is this relevant?

Highly Cited

2008

Highly Cited

2008

- 2008

It is now well-known that one can reconstruct sparse or compressible signals accurately from a very limited number ofâ€¦Â (More)

Is this relevant?

Highly Cited

2008

Highly Cited

2008

- ArXiv
- 2008

Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimalâ€¦Â (More)

Is this relevant?

Highly Cited

2007

Highly Cited

2007

- IEEE Journal of Selected Topics in Signalâ€¦
- 2007

Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or illâ€¦Â (More)

Is this relevant?

Highly Cited

2007

Highly Cited

2007

- IEEE Transactions on Signal Processing
- 2007

Compressed sensing (CS) offers a joint compression and sensing processes, based on the existence of a sparse representation ofâ€¦Â (More)

Is this relevant?

Highly Cited

2007

Highly Cited

2007

- 2007 15th International Conference on Digitalâ€¦
- 2007

Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and studyâ€¦Â (More)

Is this relevant?

Highly Cited

2006

Highly Cited

2006

- IEEE Transactions on Information Theory
- 2006

Suppose x is an unknown vector in Ropfm (a digital image or signal); we plan to measure n general linear functionals of x andâ€¦Â (More)

Is this relevant?

Highly Cited

2006

Highly Cited

2006

- Signal Processing
- 2006

We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS isâ€¦Â (More)

Is this relevant?

Highly Cited

2005

Highly Cited

2005

- 2005

Compressed sensing is an emerging field based on the revelation that a small collection of linear projections of a sparse signalâ€¦Â (More)

Is this relevant?