Examples of using Wavelets in English and their translations into Portuguese
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The present work aims to develop a methodology for using wavelets in identification of impulsive noise in the frequency range of return path on the hfc network, through analysis of the coe.
In the case of(warped) wavelets approach, we also obtain asymptotic results in more specific situations, in which the functions of
Wavelets have been used in the literature of time series as an auxiliary procedure for preprocessing the series under analysis,
this work aims to validate the wavelets neural network combined with five optimization techniques to set required network parameters,
According the state-of-the-art lesions classification on mammograms, wavelets have produced the best results from the viewpoint of precision, when used as a preprocessing step
curve or surface, wavelets provide a subtle technique in representing the levels of detail present,
biortogonais 5.5 wavelets and a bank with six different Gabor filters.
The filter uses the db4 wavelet function, as the base function for the filter.
The Meyer wavelet is an orthogonal wavelet proposed by Yves Meyer.
JPEG 2000 features wavelet compression- the current state of the art in image compression.
Wavelet techniques applied to study of space electrodynamic phenomena, BE.EP. PD.
You can also do wavelet sharpening--see the Avi Stack manual for more information.
wind roses, wavelet and data mining.
spectral and wavelet tools.
The ag is applied in the determination of wavelet transform coefficients to be filtered.
Among the processing methods, the wavelet transform has presented promising results.
Understand more advanced techniques through Fourier transformations and wavelet methods Download.
Wavelet analysis will be used as a complementary tool to the established techniques used for this purpose,
Thus, one should pick a wavelet function which support does not compromise any of the resolutions.
The sidebands of sounds¿harmonics were decomposed by the harmonic band wavelet transform(hbwt) which is based on the pseudo-periodic 1= f noise model.