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A novel method of constructing compactly supported orthogonal scaling functions from splines

A novel construction of compactly supported orthogonal scaling functions and wavelets with spline functions is presented in this paper. Let [Formula: see text] be the center B-spline of order n, except for the case of order one, we know [Formula: see text] is not orthogonal. But by the formula of or...

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Autores principales: Yang, Shouzhi, Huang, Huiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491697/
https://www.ncbi.nlm.nih.gov/pubmed/28725132
http://dx.doi.org/10.1186/s13660-017-1425-9
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author Yang, Shouzhi
Huang, Huiqing
author_facet Yang, Shouzhi
Huang, Huiqing
author_sort Yang, Shouzhi
collection PubMed
description A novel construction of compactly supported orthogonal scaling functions and wavelets with spline functions is presented in this paper. Let [Formula: see text] be the center B-spline of order n, except for the case of order one, we know [Formula: see text] is not orthogonal. But by the formula of orthonormalization procedure, we can construct an orthogonal scaling function corresponding to [Formula: see text] . However, unlike [Formula: see text] itself, this scaling function no longer has compact support. To induce the orthogonality while keeping the compact support of [Formula: see text] , we put forward a simple, yet efficient construction method that uses the formula of orthonormalization procedure and the weighted average method to construct the two-scale symbol of some compactly supported orthogonal scaling functions.
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spelling pubmed-54916972017-07-17 A novel method of constructing compactly supported orthogonal scaling functions from splines Yang, Shouzhi Huang, Huiqing J Inequal Appl Research A novel construction of compactly supported orthogonal scaling functions and wavelets with spline functions is presented in this paper. Let [Formula: see text] be the center B-spline of order n, except for the case of order one, we know [Formula: see text] is not orthogonal. But by the formula of orthonormalization procedure, we can construct an orthogonal scaling function corresponding to [Formula: see text] . However, unlike [Formula: see text] itself, this scaling function no longer has compact support. To induce the orthogonality while keeping the compact support of [Formula: see text] , we put forward a simple, yet efficient construction method that uses the formula of orthonormalization procedure and the weighted average method to construct the two-scale symbol of some compactly supported orthogonal scaling functions. Springer International Publishing 2017-06-29 2017 /pmc/articles/PMC5491697/ /pubmed/28725132 http://dx.doi.org/10.1186/s13660-017-1425-9 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Yang, Shouzhi
Huang, Huiqing
A novel method of constructing compactly supported orthogonal scaling functions from splines
title A novel method of constructing compactly supported orthogonal scaling functions from splines
title_full A novel method of constructing compactly supported orthogonal scaling functions from splines
title_fullStr A novel method of constructing compactly supported orthogonal scaling functions from splines
title_full_unstemmed A novel method of constructing compactly supported orthogonal scaling functions from splines
title_short A novel method of constructing compactly supported orthogonal scaling functions from splines
title_sort novel method of constructing compactly supported orthogonal scaling functions from splines
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491697/
https://www.ncbi.nlm.nih.gov/pubmed/28725132
http://dx.doi.org/10.1186/s13660-017-1425-9
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