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Highly Cited

2002

Highly Cited

2002

Most simple nonlinear thresholding rules for wavelet-based denoising assume that the wavelet coefficients are independent… Expand

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Highly Cited

1998

Highly Cited

1998

A wavelet-based tool for the analysis of long-range dependence and a related semi-parametric estimator of the Hurst parameter is… Expand

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Highly Cited

1997

Highly Cited

1997

This paper presents a trainable object detection architecture that is applied to detecting people in static images of cluttered… Expand

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Highly Cited

1997

Highly Cited

1997

Abstract When fitting wavelet based models, shrinkage of the empirical wavelet coefficients is an effective tool for denoising… Expand

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Highly Cited

1995

Highly Cited

1995

Wavelets were developed independently by mathematicians, quantum physicists, electrical engineers and geologists, but… Expand

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Highly Cited

1995

Highly Cited

1995

First published in 1995, Wavelets and Subband Coding offered a unified view of the exciting field of wavelets and their discrete… Expand

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Highly Cited

1995

Highly Cited

1995

A wavelet-based neural network is described. The structure of this network is similar to that of the radial basis function (RBF… Expand

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Highly Cited

1994

Highly Cited

1994

SUMMARY With ideal spatial adaptation, an oracle furnishes information about how best to adapt a spatially variable estimator… Expand

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Highly Cited

1994

Highly Cited

1994

Preface.- Suggestions to the Reader.- Symbols, Conventions, and Transforms.- Part I: Basic Wavelet Analysis. Preliminaries… Expand

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Highly Cited

1989

Highly Cited

1989

Multiresolution representations are effective for analyzing the information content of images. The properties of the operator… Expand

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