Results 161 to 170 of about 321,454 (242)

Hyperspectral Image Classification Using CNN-Enhanced Multi-Level Haar Wavelet Features Fusion Network

IEEE Geoscience and Remote Sensing Letters, 2022
Convolutional neural networks (CNNs) are widely utilized in hyperspectral image (HSI) classification due to their powerful capability to automatically learn features.
Wenhui Guo, Guixun Xu, Baodi Liu, Yanjiang Wang   +3 more
semanticscholar   +1 more source

Numerical solutions of generalized Rosenau–KDV–RLW equation by using Haar wavelet collocation approach coupled with nonstandard finite difference scheme and quasilinearization

Numerical Methods for Partial Differential Equations, 2022
In this article, we analyze and propose to compute the numerical solutions of a generalized Rosenau–KDV–RLW (Rosenau‐Korteweg De Vries‐Regularized Long Wave) equation based on the Haar wavelet (HW) collocation approach coupled with nonstandard finite ...
Amit Verma, M. Rawani
semanticscholar   +1 more source

A study of fractional Lotka‐Volterra population model using Haar wavelet and Adams‐Bashforth‐Moulton methods

Mathematical methods in the applied sciences, 2020
The Lotka‐Volterra (LV) system is an interesting mathematical model because of its significant and wide applications in biological sciences and ecology. A fractional LV model in the Caputo sense is investigated in this paper.
Sunil Kumar, Ranbir Kumar, R. Agarwal, B. Samet   +3 more
semanticscholar   +1 more source

Application of Haar wavelet method for free vibration of laminated composite conical–cylindrical coupled shells with elastic boundary condition

Physica Scripta, 2021
In this paper, the Haar wavelet discretization method (HWDM) is proposed for the calculation of natural frequency of the laminated composite conical-cylindrical coupled shells.
Kwanghun Kim, Songhun Kwak, Kwangnam Choe, Wonjin Han, Yong-U. Ri, Kumchol Ri   +5 more
semanticscholar   +1 more source

Crystallographic Haar Wavelets

Journal of Fourier Analysis and Applications, 2011
Let \(\Gamma\) 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., Moure, María del Carmen   +1 more
openaire   +2 more sources

A computational approach for solving fractional Volterra integral equations based on two-dimensional Haar wavelet method

International Journal of Computational Mathematics, 2021
In this paper, an operational matrix (OM) method based on two-dimensional Haar wavelets (2D-HWs) is proposed for solving generalized 2D fractional Volterra integral equations (2D-FVIEs).
Zohreh Abdollahi, M. M. Moghadam, H. Saeedi, Mohammad Javad Ebadi   +3 more
semanticscholar   +1 more source

Haar Wavelet Splines

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.
openaire   +2 more sources

An approach based on Haar wavelet for the approximation of fractional calculus with application to initial and boundary value problems

Mathematical methods in the applied sciences, 2020
In this paper, we propose the numerical approximation of fractional initial and boundary value problems using Haar wavelets. In contrast to the Haar wavelet methods available in literature, where the fractional derivative of the function is approximated ...
Vaibhav Mehandiratta, M. Mehra, G. Leugering   +2 more
semanticscholar   +1 more source