Results 161 to 170 of about 77,620 (219)
WEDGE-Net: Wavelet-Driven Memory-Efficient Anomaly Detection for Industrial Edge Computing. [PDF]
Sensors (Basel)Park JM, Kim GY.
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Wavelet-Enhanced CNN for Breast Ultrasound Classification Under Speckle Noise. [PDF]
BiomedicinesOnjun R, Sritarapipat T, Kaennakham S.
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A noise-robust classification method for cryo-ET subtomograms with out-of-distribution detection. [PDF]
BioinformaticsMeng W, Yu X, Zhang T, Han R.
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Isolating error-based and reward-based learning in a real-world task via gradual perturbations in embodied VR. [PDF]
iScienceNardi F, Arora A, Faisal AA, Haar S.
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WEIGHTED HAAR WAVELETS ON THE SPHERE
International Journal of Wavelets, Multiresolution and Information Processing, 2007 Starting from the one-dimensional Haar wavelets on the interval [0,1], we construct spherical Haar wavelets which are orthogonal with respect to a given scalar product. This scalar product induces a norm which is equivalent to the usual ‖ · ‖2norm of L2(𝕊2).
Rosca, Daniela-Dorina
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Haar Wavelets in Data Analysis
Advanced Materials Research, 2010 One century ago (1910), the Hungarian mathematician Alfred Haar introduced the simplest wavelets in approximation theory, which are now known as the Haar wavelets. This type of wavelets can effectively be used to fit data in statistical applications.
Yu Qin Sun +2 more
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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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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.
François Dubeau +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.
François Dubeau +2 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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Wavelets in Generalized Haar Spaces
Journal of Mathematical Sciences, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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