نتایج جستجو برای: order legendre wavelets

تعداد نتایج: 917041  

2014
Khosrow Maleknejad Asyieh Ebrahimzadeh

problem (OCP) for systems governed by Volterra integro-differential (VID) equation is considered. The method is developed by means of the Legendre wavelet approximation and collocation method. The properties of Legendre wavelet together with Gaussian integration method are utilized to reduce the problem to the solution of nonlinear programming one. Some numerical examples are given to confirm t...

Journal: :Journal of Mathematical Analysis and Applications 2004

Journal: :Math. Comput. 2006
Helmut Harbrecht Rob P. Stevenson

We construct wavelets on general n-dimensional domains or manifolds via a domain decomposition technique, resulting in so-called composite wavelets. With this construction, wavelets with supports that extend to more than one patch are only continuous over the patch interfaces. Normally, this limited smoothness restricts the possibility for matrix compression, and with that the application of th...

1997
Michael Unser

The purpose of this note is to highlight some of the unique properties of spline wavelets. These wavelets can be classified in four categories: othogonal (Battle-Lemarié), semi-orthogonal (e.g., B-spline), shift-orthogonal, and biorthogonal (Cohen-DaubechiesFeauveau). Unlike most other wavelet bases, splines have explicit formulae in both the time and frequency domain, which greatly facilitates...

Journal: :Graphical Models 2000
Huazhong Shu Limin Luo Xu Dong Bao Wenxue Yu Guo-Niu Han

The two-dimensional (2D) and three-dimensional (3D) orthogonal moments are useful tools for 2D and 3D object recognition and image analysis. However, the problem of computation of orthogonal moments has not been well solved because there exist few algorithms that can efficiently reduce the computational complexity. As is well known, the calculation of 2D and 3D orthogonal moments by a straightf...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2014
Moo K. Chung Stacey M. Schaefer Carien M. van Reekum Lara Peschke-Schmitz Mattew J. Sutterer Richard J. Davidson

We present a new unified kernel regression framework on manifolds. Starting with a symmetric positive definite kernel, we formulate a new bivariate kernel regression framework that is related to heat diffusion, kernel smoothing and recently popular diffusion wavelets. Various properties and performance of the proposed kernel regression framework are demonstrated. The method is subsequently appl...

Journal: :J. Comput. Physics 2018
James Bremer

We describe a method for the numerical evaluation of normalized versions of the associated Legendre functions P−μ ν and Q −μ ν of degrees 0 ≤ ν ≤ 1, 000, 000 and orders −ν ≤ μ ≤ ν on the interval (−1, 1). Our algorithm, which runs in time independent of ν and μ, is based on the fact that while the associated Legendre functions themselves are extremely expensive to represent via polynomial expan...

2008
J. A. Pons J. A. Miralles J. Ma Ibáñez

Legendre expansion of the ν ¯ ν ⇀ ↽ e + e − kernel: Influence of high order terms. Abstract We calculate the Legendre expansion of the rate of the process ν + ¯ ν ↔ e + + e − up to 3 rd order extending previous results of other authors which only consider the 0 th and 1 st order terms. Using different closure relations for the moment equations of the radiative transfer equation we discuss the p...

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