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IEEE Transactions on Neural Networks, 1992
A wavelet network concept, which is based on wavelet transform theory, is proposed as an alternative to feedforward neural networks for approximating arbitrary nonlinear functions. The basic idea is to replace the neurons by ;wavelons', i.e., computing units obtained by cascading an affine transform and a multidimensional wavelet.
Qinghua Zhang, Albert Benveniste
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A wavelet network concept, which is based on wavelet transform theory, is proposed as an alternative to feedforward neural networks for approximating arbitrary nonlinear functions. The basic idea is to replace the neurons by ;wavelons', i.e., computing units obtained by cascading an affine transform and a multidimensional wavelet.
Qinghua Zhang, Albert Benveniste
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Wavelet Transforms and Wavelet Approximations
1994We summarize properties of classical wavelet transforms and Wavelet Stieltjes transforms. Wavelet approximation problems are also considered for Wavelet Stieltjes transforms. This will give rise to some characterizations of general signals.
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Wavelet and wavelet packet compression of electrocardiograms
IEEE Transactions on Biomedical Engineering, 1997Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data.
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, 2016
Typical microseismic data recorded by surface arrays are characterized by low signal-to-noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events.
S. Mousavi, C. Langston, S. Horton
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Typical microseismic data recorded by surface arrays are characterized by low signal-to-noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events.
S. Mousavi, C. Langston, S. Horton
semanticscholar +1 more source
Environment, Development and Sustainability, 2021
T. Adebayo, Derviş Kırıkkaleli
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T. Adebayo, Derviş Kırıkkaleli
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Environmental science and pollution research international, 2021
T. Adebayo +3 more
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T. Adebayo +3 more
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2012
In this chapter, we introduce the concept of wavelets and describe how to use wavelet-based decompositions in compression schemes. We begin with an introduction to wavelets and multiresolution analysis and then describe how we can implement a wavelet decomposition using filters.
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In this chapter, we introduce the concept of wavelets and describe how to use wavelet-based decompositions in compression schemes. We begin with an introduction to wavelets and multiresolution analysis and then describe how we can implement a wavelet decomposition using filters.
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The dual-tree complex wavelet transform
IEEE Signal Processing Magazine, 2005I. Selesnick +2 more
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Factoring wavelet transforms into lifting steps
, 1998I. Daubechies, W. Sweldens
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