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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 ...
Análise de vibrações em sistemas discretos de massas concentradas e com dois graus de liberdade através da transformada wavelet
(Universidade Estadual Paulista (UNESP), 2014)
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 ...
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 ...
Function approximation by polynomial wavelets generated from powers of sigmoids
(Spie - Int Soc Optical Engineering, 1996-01-01)
Wavelet-galerkin method for computations of electromagnetic fields-computation of connection coefficients
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Multidimensional polynomial powers of sigmoid (PPS) Wavelet neural networks
(Insticc-inst Syst Technologies Information Control & Communication, 2008-01-01)
Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural ...
Multiscale Analysis of GPS Time Series from Non-decimated Wavelet to Investigate the Effects of Ionospheric Scintillation
(Sociedade Brasileira de Matemática Aplicada e Computacional, 2015-08-01)
Due to the numerous application possibilities, the theory of wavelets has been applied in several areas of research. The Discrete Wavelet Transform is the most known version. However, the downsampling required for its ...
Implementation of the wavelet HAAR to reconstruct the function f (t) = t On the range [-3.3] different degrees of resolutionAplicación de la wavelet haar para reconstruir la función f(t)=t sobre el intervalo [-3,3] en diferentes grados de resolución
(Pereira : Universidad Tecnológica de Pereira, 2008)
En este artículo, se estudian los sistemas Wavelets de primera generación como lo es la Wavelet Haar (la más antigua y simple de todas), con sus respectivas características; definiendo para la Haar, la función escala y ...