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Wavelet Analysis

Known as: Spatiotemporal Wavelet Analysis, Transform, Wavelet, Signal Processing, Wavelet 
Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency… Expand
National Institutes of Health

Papers overview

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Highly Cited
2009
Highly Cited
2009
The assessment of the comovement among international stock markets is of key interest, for example, for the international… Expand
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Highly Cited
2005
Highly Cited
2005
A number of reconstructions of millennial-scale climate variability have been carried out in order to understand patterns of… Expand
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Highly Cited
2003
Highly Cited
2003
About 1% of the people in the world suffer from epilepsy and 30% of epileptics are not helped by medication. Careful analyses of… Expand
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Highly Cited
2002
Highly Cited
2002
We study the synchronization between left and right hemisphere rat electroencephalographic (EEG) channels by using various… Expand
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Highly Cited
2001
Highly Cited
2001
Since traditional electrical brain signal analysis is mostly qualitative, the development of new quantitative methods is crucial… Expand
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Highly Cited
2001
Highly Cited
2001
Even in the absence of an experimental effect, functional magnetic resonance imaging (fMRI) time series generally demonstrate… Expand
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Highly Cited
1997
Highly Cited
1997
The spatial receptive fields of simple cells in mammalian striate cortex have been reasonably well described physiologically and… Expand
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Highly Cited
1997
Highly Cited
1997
The Nature of Remote Sensing: Introduction. Remote Sensing. Information Extraction from Remote-Sensing Images. Spectral Factors… Expand
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Highly Cited
1995
Highly Cited
1995
An algorithm based on wavelet transforms (WT's) has been developed for detecting ECG characteristic points. With the multiscale… Expand
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Highly Cited
1993
Highly Cited
1993
Abstract Wavelet analysis is a relatively new technique that is an important addition to standard signal analysis methods. Unlike… Expand
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