Examples of using Wavelets in English and their translations into Portuguese
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Treatment and analysis of visual neurological signals with wavelets.
For this it was developed a new family of wavelets called of chirplet optics.
Ask me about computational simulation,parallel computing, wavelets.
Abstract Wavelets methods have been applied on many fields of science.
For example, JPEG 2000 is an image compression standard that uses biorthogonal wavelets.
Wavelets, LPC and LS-SVM applied for analysis and identification of pathological….
This work presents a new application of wavelets to spread spectrum systems.
This family meets the principles of waves huygens-fresnel and properties of wavelets.
Wavelets application on the analysis of musical gestures in timbres of traditional….
Good stacking software also allows you to use wavelets to adjust sharpness in pretty sophisticated ways.
Nonparametric regression and semiparametric regression methods have been developed based on kernels,splines, and wavelets.
The concept of wavelets was something conceived in mathematics without any kind of application in mind.
According to the formulation of sherlock and monro the space of orthonormal wavelets is parameterized by a set of angular p.
Two applications also involving wavelets with applications to images¿which were developed during the research- were placed in appendice.
Initially, we do a brief review of concepts followed by the main results on multi-resolution analysis for wavelets in general.
You will take courses in matrix theory,quantum computing, wavelets, optimisation and algebra, all chosen to be applicable in modern engineering.
Two steady state identification methods were analyzed and compared,one based on a f-like test and other based on wavelets.
Definição Inglês: Signal anddata processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains.
This study intends to develop a method to detect trend reversals followed by significant drops in brazilian stock market using wavelets.
Wavelet transform was applied to the unfiltered olr time series. global power spectrum and wavelets amplitudes of specific time-scales were evaluated.
In this document numerical solutions to mechanical engineering problems are evaluated through convergence accelerator algebraic multigrid via wavelets wamg.
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 this thesis, we study about fitting functional-coefficient regression models for time series,by splines, wavelets and warped wavelets.
This work presents the use of second generation wavelets in the finite element method for solution of partial differential equations in unidimensional and bidimensional domains.
This evaluation includes the proposition of six new fatigue indicators, one of them being computed in the time domain,one in the frequency domain and four using wavelets.
In the case of(warped) wavelets approach, we also obtain asymptotic results in more specific situations, in which the functions of the model belong to sobolev and besov spaces.
These in turn consist of even smaller and smaller particles, which finally turn out to be pure energy(prana)densified in various wavelets and aggregates to form matter.
Wavelets have been used in the literature of time series as an auxiliary procedure for preprocessing the series under analysis, and the par(p) model has its importance recognized due to its use in hydrological series monthly.
The proposed methods perform the characterization of electronic converters andharmonic impedance measurements by the imposition of voltage sags and wavelets, respectively.
In this context,this work aims to validate the wavelets neural network combined with five optimization techniques to set required network parameters, being: differential evolution, artificial bee colony, glowworm, gravitational search and imperialist competitive.