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Orthogonal wavelet

An orthogonal wavelet is a wavelet whose associated wavelet transform is orthogonal.That is, the inverse wavelet transform is the adjoint of the… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Abstract It is difficult to detect subtle and vital differences in electroencephalogram (EEG) signals simply by visual inspection… Expand
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Highly Cited
2013
Highly Cited
2013
We present two strategies for detecting patterns and clusters in high-dimensional time-dependent functional data. The use on… Expand
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Highly Cited
2007
Highly Cited
2007
The use of overcomplete dictionaries, or frames, for sparse signal representation has been given considerable attention in recent… Expand
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Highly Cited
2006
Highly Cited
2006
Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform 
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Highly Cited
2003
Highly Cited
2003
A number of problems in network operations and engineering call for new methods of traffic analysis. While most existing traffic… Expand
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Highly Cited
2001
Highly Cited
2001
Abstract This paper describes a form of discrete wavelet transform, which generates complex coefficients by using a dual tree of… Expand
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Highly Cited
1999
Highly Cited
1999
We decompose turbulent flows into two orthogonal parts: a coherent, inhomogeneous, non-Gaussian component and an incoherent… Expand
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Highly Cited
1999
Highly Cited
1999
Sparse coding is a method for finding a representation of data in which each of the components of the representation is only… Expand
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Highly Cited
1998
Highly Cited
1998
We propose thresholding for multiwavelets considering the coefficient vectors as a whole rather than thresholding individual… Expand
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Highly Cited
1992
Highly Cited
1992
Adapted waveform analysis uses a library of orthonormal bases and an efficiency functional to match a basis to a given signal or… Expand
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