Matching pursuit

Matching pursuit (MP) is a sparse approximation algorithm which involves finding the "best matching" projections of multidimensional data onto the…

Papers overview

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2017

Orthogonal matching pursuit (OMP) is a widely used compressive sensing (CS) algorithm for recovering sparse signals in noisy…

2013

Compressed sensing (CS) is a theory which exploits the sparsity characteristic of the original signal in signal sampling and…

2011

Orthogonal Matching Pursuit (OMP) has long been considered a powerful heuristic for attacking compressive sensing problems…

2010

Compressed sensing (CS) theory shows that it is possible to reconstruct exactly a sparse signal from fewer linear measurements…

2010

We generalize cyclic matching pursuit (CMP), propose an orthogonal variant, and examine their performance using multiscale time…

2008

SUMMARY While several methods exist that aim to interpolate between regularly sampled traces or reconstruct traces missing from a…

2004

This paper focuses on the problem of data representation for feature selection and extraction of 1D electronic nose signals…

2002

We introduce two models for predicting the rate and distortion of the matching pursuit video codec. The rst model is based on a…

2000

In this paper, equalization of channels with large delay spread but with few nonzero taps, such as those encountered in HDTV, are…

1998

Wavelet analysis is a rapidly developing area of mathematical and application-oriented research in many disciplines of science…