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Machine Learning Based Multi-Class Classification and Grading of Squamous Cell Carcinoma in Optical Microscopy. [PDF]
Microsc Res TechKaniyala Melanthota S +8 more
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A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks. [PDF]
Sci RepShalby EM +3 more
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Transmission line fault detection and classification using bi-orthogonal wavelet transform (5.5) based signal decomposition. [PDF]
Sci RepChothani N +7 more
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A lightweight encryption algorithm for resource-constrained IoT devices using quantum and chaotic techniques with metaheuristic optimization. [PDF]
Sci RepAljaedi A +5 more
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Haar wavelet method for solving Fisher’s equation
Applied Mathematics and Computation, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hariharan, G., Kannan, K., Sharma, K. R.
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Crystallographic Haar Wavelets
Journal of Fourier Analysis and Applications, 2011Let \(\Gamma\) be a \(d\)-dimensional crystallographic group and let \(a:\,{\mathbb R}^d \to {\mathbb R}^d\) be an expanding affine map. By definition, \((\Gamma,a)\)-crystallographic multiwavelets form a finite set of functions \(\{\psi^1,\ldots, \psi^L\}\), which generate an orthonormal basis, a Riesz basis or a Parseval frame for \(L^1({\mathbb R}^d)
González, Alfredo L. +1 more
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Journal of Interdisciplinary Mathematics, 2001
Abstract In this paper is discussed the numerical approximation of differential operators using Haar wavelet bases and their spline-derivatives. It is shown how to smooth the Haar family of wavelets using splines, and to compute the derivatives of the Haar function using the splines.
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Abstract In this paper is discussed the numerical approximation of differential operators using Haar wavelet bases and their spline-derivatives. It is shown how to smooth the Haar family of wavelets using splines, and to compute the derivatives of the Haar function using the splines.
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Journal of Physics A: Mathematical and General, 1996
Summary: We construct a new type of Haar wavelets, called \(\tau\)-wavelets of Haar, using the arithmetics of the solutions \(\tau=\frac 12 (1+\sqrt{5})\) and \(\sigma=\frac 12 (1-\sqrt{5})\) of the algebraic equation \(x^2=x+1\).
Gazeau, J.-P., Patera, J.
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Summary: We construct a new type of Haar wavelets, called \(\tau\)-wavelets of Haar, using the arithmetics of the solutions \(\tau=\frac 12 (1+\sqrt{5})\) and \(\sigma=\frac 12 (1-\sqrt{5})\) of the algebraic equation \(x^2=x+1\).
Gazeau, J.-P., Patera, J.
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Applied Mathematics and Computation, 2004
The authors give a detailed description of the Haar wavelet transform associated with non-uniform partitions of the real line. Algorithms for decomposition and reconstruction are studied.
Dubeau, François +2 more
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The authors give a detailed description of the Haar wavelet transform associated with non-uniform partitions of the real line. Algorithms for decomposition and reconstruction are studied.
Dubeau, François +2 more
openaire +1 more source