Results 21 to 30 of about 39,992 (299)
Design and Implementation of New Biorthogonal Wavelets and its Application to Image Processing
International Journal of Emerging Research in Engineering, Science, and Management, 2022 Wavelet transformation has been an interesting field since its exposure with wavelet-based compression standard embedded zerotree wavelet. Though, the origin of wavelets back to many decades, the presence of research at the very beginning of wavelet ...
E Sasikala Reddy, TVV Sathyanarayana
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Some results on generalization $\alpha-$Chebyshev wavelets [PDF]
Journal of Mahani Mathematical ResearchIn this paper, we introduce generalized formulae for well-known functions such as $\alpha$-Chebyshev functions. We define $\alpha-$Chebyshev wavelets approximation and generalization $\alpha-$wavelet coapproximation.
Hamid Mazaheri +2 more
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Fourier–Boas-Like Wavelets and Their Vanishing Moments
Journal of Mathematics, 2021 In this paper, we propose Fourier–Boas-Like wavelets and obtain sufficient conditions for their higher vanishing moments. A sufficient condition is given to obtain moment formula for such wavelets. Some properties of Fourier–Boas-Like wavelets associated
Leena Kathuria +2 more
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A Note on Some New Generalized Wavelets
Journal of Mathematics, 2022 In this paper, we define new real wavelets based on the Hartley kernel and Boas transforms. These wavelets have possible application in analyzing both the symmetries of an asymmetric real signal.
A. Zothansanga +3 more
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Computing continuous-time growth models with boundary conditions via wavelets [PDF]
, 2004 This paper presents an algorithm for approximating the solution of deterministic/stochastic continuous-time growth models based on the Euler's equation and the transversality conditions.
Mercedes Esteban-bravo +3 more
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Journal of Function Spaces, 2022 This paper deals with Chebyshev wavelets. We analyze their properties computing their Fourier transform. Moreover, we discuss the differential properties of Chebyshev wavelets due to the connection coefficients.
Emanuel Guariglia +1 more
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Michigan Mathematical Journal, 1996 Let \(T\) and \(D\) be the translation and unitary dilation operators on \(L^2(\mathbb{R})\) given by \((Tf)(t)= f(t- 1)\) and \((Df)(t)=\sqrt 2f(2t)\). An orthogonal wavelet for a subspace \(X\) of \(L^2(\mathbb{R})\) is a unit vector \(\psi\in X\) such that \(\{D^nT^m\psi: n,m\in\mathbb{Z}\}\) is an orthonormal basis of \(X\).
Dai, Xingde, Lu, Shijie
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Informatics in Medicine Unlocked, 2019 Electroencephalography (EEG) is noninvasive and it is an effective tool to understand the complex nature of the brain. Its analysis by visual inspection is tedious and costly, and that is why many researchers in recent years resort to the use of computer-
Atemangoh Bruno Peachap +1 more
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NONUNIFORM SUPER WAVELETS IN 𝐿^2(K)
Проблемы анализа, 2021 In this paper, we introduce the structure of nonuniform super wavelets over local fields. We shall also provide the characterization of nonuniform parseval frame, nonuniform semi-orthogonal pareseval multiwavelets, and nonuniform super wavelets over ...
O. Ahmad +2 more
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Sinc-Fractional Operator on Shannon Wavelet Space
Frontiers in Physics, 2018 In this paper the sinc-fractional derivative is extended to the Hilbert space based on Shannon wavelets. Some new fractional operators based on wavelets are defined.
Carlo Cattani
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