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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 method proposed in the manuscript only needs one or two scan lines to obtain the frequency ratio based on wavelet transform.
In case of pressure and current, the random noise is removed by using a denoising method based on wavelet transform.
In this approach, an advanced point forecasting method is originally proposed based on wavelet transform and convolutional neural network.
In fact, the proposed method is based on Wavelet transform decomposition of ECG signal using reverse Biorthogonal mother wavelet.
Generally, the proposed algorithm consists of three stages; firstly, reconstruction based on wavelet transform, secondly, predetermined thresholding, and thirdly, imposing moving filter.
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Machined NFRP surface finish was characterized using standard and multiscale analysis based on wavelets transform.
Therefore, the relationship between the frequency and lattice orientation has been further investigated based on wavelet transforms.
In line with this aim, we also develop and deliver relevant analysis tools based on wavelet transforms and tailored to the Swarm mission.
Methods based on wavelet transforms generally require powerful visualization tools.
In a previous study [1], a damage indicator, ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯WPECR, was proposed based on wavelet packet transform analysis to identify free-spanning damage along subsea pipelines.
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