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We propose and evaluate an upscaling procedure based on wavelet sensitivity thresholding.
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In this paper, a new kind of sensitivity indices based on wavelet analysis is proposed.
Simulation results have demonstrated significant improvements over wavelet-based methods, namely, TI wavelet denoising, denoising based on wavelet transform footprints, as well as recently introduced EPWT based method.
The WMULDEN is a strategy based on wavelet decomposition.
This method is based on wavelet analysis using the Morlet wavelet and the least mean squares (LMS) adaptive filter.
A new wavelet support vector machine (WN ν-SVM) is proposed based on wavelet theory and modified support vector machine.
In fact, the proposed method is based on Wavelet transform decomposition of ECG signal using reverse Biorthogonal mother wavelet.
These are the wavelet transform cross-section procedure, the impulse response recovery procedure based on wavelet domain filtering and the wavelet ridge detection procedure.
The developed model is based on wavelet packet decomposition, entropy and neural network.
This paper proposes a blind watermarking scheme based on wavelet tree quantization for copyright protection.
In this work, a filtering technique based on Wavelet Transform is presented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com