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A note on a practical relationship between filter coefficients and scaling and wavelet functions of Discrete Wavelet Transforms
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
In this paper, the relationship between the filter coefficients and the scaling and wavelet functions of the Discrete Wavelet Transform is presented and exemplified from a practical point-of-view. The explanations complement ...
Harmonics filtering and detection of disturbances using wavelets
(1999-12-01)
Traditional mathematical tools, like Fourier Analysis, have proven to be efficient when analyzing steady-state distortions; however, the growing utilization of electronically controlled loads and the generation of a new ...
Wavelet-galerkin method for computations of electromagnetic fields-computation of connection coefficients
(Institute of Electrical and Electronics Engineers (IEEE), 2000-12-01)
One of the key issues which makes the waveletGalerkin method unsuitable for solving general electromagnetic problems is a lack of exact representations of the connection coefficients. This paper presents the mathematical ...
Wavelet-galerkin method for computations of electromagnetic fields-computation of connection coefficients
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Stereographic wavelet frames on the sphere
(Academic Press Inc Elsevier Science, 2005-09)
In this paper we exploit the continuous wavelet transform (CWT) on the two-dimensional sphere S2, introduced previously by two of us, to build associated discrete wavelet frames. We first explore half-continuous frames, ...
Wavelet entropy and fractional Brownian motion time series
(Elsevier, 2006-06-15)
We study the functional link between the Hurst parameter and the normalized total wavelet entropy when analyzing fractional Brownian motion (fBm) time series—these series are synthetically generated. Both quantifiers are ...
Identificação não linear usando uma rede fuzzy wavelet neural network modificada
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2014-03-24)
In last decades, neural networks have been established as a major tool for the
identification of nonlinear systems. Among the various types of networks used in identification,
one that can be highlighted is the wavelet ...
Harmonics filtering and detection of disturbances using wavelets
(1999-12-01)
Traditional mathematical tools, like Fourier Analysis, have proven to be efficient when analyzing steady-state distortions; however, the growing utilization of electronically controlled loads and the generation of a new ...