# Basis pursuit denoising

## Papers overview

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2016

2016

- IECON - 42nd Annual Conference of the IEEE…
- 2016

When Lamb waves propagates in composite laminates, the direction-dependent property parameters of the composite laminates lead to… (More)

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2013

2013

- IEEE Transactions on Signal Processing
- 2013

The number of available algorithms for the so-called Basis Pursuit Denoising problem (or the related LASSO-problem) is large and… (More)

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2011

2011

- IEEE Transactions on Signal Processing
- 2011

We introduce a fast method, the “in-crowd” algorithm, for finding the exact solution to basis pursuit denoising problems. The in… (More)

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Highly Cited

2011

Highly Cited

2011

- IEEE Transactions on Signal Processing
- 2011

We consider the problem of decomposing a signal into a linear combination of features, each a continuously translated version of… (More)

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2010

2010

- The 10th IEEE International Symposium on Signal…
- 2010

For compressive sensing (CS), we explore the framework of Bayesian linear models to achieve a robust reconstruction performance… (More)

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2010

Highly Cited

2010

- IEEE International Conference on Acoustics…
- 2010

In this work, we study the problem of reconstructing a sparse signal from a limited number of linear ‘incoherent’ noisy… (More)

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2009

2009

- 2009

We address the problem of learning a joint sparse approximation of several signals over a dictionary. We posethe problem as a… (More)

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2008

Highly Cited

2008

- SIAM J. Scientific Computing
- 2008

The basis pursuit problem seeks a minimum one-norm solution of an underdetermined least-squares problem. Basis pursuit denoise… (More)

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2006

Highly Cited

2006

- Signal Processing
- 2006

A simultaneous sparse approximation problem requests a good approximation of several input signals at once using different linear… (More)

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2000

Highly Cited

2000

- IEEE Trans. Information Theory
- 2000

The so-called denoising problem, relative to normal models for noise, is formalized such that`noise' is deened as the… (More)

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