# Mutual coherence (linear algebra)

## Papers overview

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2018

2018

- 2018

1CREOL, College of Optics and Photonics, University of Central Florida, Orlando, FL, USA. 2IPG Photonics-Mid-Infrared Lasersâ€¦Â (More)

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Review

2017

Review

2017

- IEEE Communications Surveys & Tutorials
- 2017

As a paradigm to recover the sparse signal from a small set of linear measurements, compressed sensing (CS) has stimulated aâ€¦Â (More)

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2013

2013

- IEEE Geoscience and Remote Sensing Letters
- 2013

In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on theâ€¦Â (More)

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2013

2013

- IEEE Transactions on Information Theory
- 2013

We address the exact recovery of a k-sparse vector in the noiseless setting when some partial information on the support isâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- 18th European Signal Processing Conference
- 2010

In this paper the problem of Compressive Sensing (CS) is addressed. The focus is on estimating a proper measurement matrix forâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- EURASIP J. Adv. Sig. Proc.
- 2010

Compressive sensing (CS) is mainly concerned with low-coherence pairs, since the number of samples needed to recover the signalâ€¦Â (More)

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2009

2009

- 3rd IEEE International Workshop on Computationalâ€¦
- 2009

Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a dictionaryâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- 2008

Abstract: We derive the lâˆž convergence rate simultaneously for Lasso and Dantzig estimators in a high-dimensional linearâ€¦Â (More)

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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)

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2004

2004

- 2004

Ronald L. Phillips, FELLOW SPIE University of Central Florida Florida Space Institute MS: FSI, Kennedy Space Center, Floridaâ€¦Â (More)

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