# Matching pursuit

## Papers overview

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Highly Cited

2012

Highly Cited

2012

- IEEE Transactions on Signal Processing
- 2012

As a greedy algorithm to recover sparse signals from compressed measurements, orthogonal matching pursuit (OMP) algorithm hasâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- IEEE Transactions on Information Theory
- 2007

This paper demonstrates theoretically and empirically that a greedy algorithm called orthogonal matching pursuit (OMP) canâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- IEEE International Conference on Acoustics Speechâ€¦
- 2006

Matching Pursuit (MP) aims at finding sparse decompositions of signals over redundant bases of elementary waveformsâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- 2005

This article demonstrates theoretically and empirically that a greedy algorithm called Orthogonal Matching Pursuit (OMP) canâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Machine Learning
- 2002

Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to anâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- IEEE Trans. Communications
- 2002

Channels with a sparse impulse response arise in a number of communication applications. Exploiting the sparsity of the channelâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- SIAM J. Scientific Computing
- 1998

The Time-Frequency and Time-Scale communities have recently developed a large number of overcompletewaveformdictionariesâ€¦Â (More)

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Highly Cited

1995

Highly Cited

1995

- ICIP
- 1995

A crucial problem in image analysis is to construct efficient low-level representations of an image, providing preciseâ€¦Â (More)

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Highly Cited

1993

Highly Cited

1993

- 1993

where fk is the current approximation, and Rk f the current residual (error). Using initial values of Ro f = f , fo = 0, and kâ€¦Â (More)

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Highly Cited

1993

Highly Cited

1993

- IEEE Trans. Signal Processing
- 1993

We introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that areâ€¦Â (More)

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