Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach

From the signal processing point of view, the nondifferentiable data defined on the Cantor sets are investigated in this paper. The local fractional Fourier series is used to process the signals, which are the local fractional continuous functions. Our results can be observed as significant extensio...

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Main Authors: Zhi-Yong Chen, Carlo Cattani, Wei-Ping Zhong
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Advances in Mathematical Physics
Online Access:http://dx.doi.org/10.1155/2014/561434
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author Zhi-Yong Chen
Carlo Cattani
Wei-Ping Zhong
author_facet Zhi-Yong Chen
Carlo Cattani
Wei-Ping Zhong
author_sort Zhi-Yong Chen
collection DOAJ
description From the signal processing point of view, the nondifferentiable data defined on the Cantor sets are investigated in this paper. The local fractional Fourier series is used to process the signals, which are the local fractional continuous functions. Our results can be observed as significant extensions of the previously known results for the Fourier series in the framework of the local fractional calculus. Some examples are given to illustrate the efficiency and implementation of the present method.
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institution Kabale University
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publishDate 2014-01-01
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series Advances in Mathematical Physics
spelling doaj-art-3c37c728760845f686caa739a3af57022025-02-03T06:05:47ZengWileyAdvances in Mathematical Physics1687-91201687-91392014-01-01201410.1155/2014/561434561434Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series ApproachZhi-Yong Chen0Carlo Cattani1Wei-Ping Zhong2School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaDepartment of Mathematics, University of Salerno, Via Giovanni Paolo II, Fisciano, 84084 Salerno, ItalySchool of Mechanics & Civil Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaFrom the signal processing point of view, the nondifferentiable data defined on the Cantor sets are investigated in this paper. The local fractional Fourier series is used to process the signals, which are the local fractional continuous functions. Our results can be observed as significant extensions of the previously known results for the Fourier series in the framework of the local fractional calculus. Some examples are given to illustrate the efficiency and implementation of the present method.http://dx.doi.org/10.1155/2014/561434
spellingShingle Zhi-Yong Chen
Carlo Cattani
Wei-Ping Zhong
Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach
Advances in Mathematical Physics
title Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach
title_full Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach
title_fullStr Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach
title_full_unstemmed Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach
title_short Signal Processing for Nondifferentiable Data Defined on Cantor Sets: A Local Fractional Fourier Series Approach
title_sort signal processing for nondifferentiable data defined on cantor sets a local fractional fourier series approach
url http://dx.doi.org/10.1155/2014/561434
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AT weipingzhong signalprocessingfornondifferentiabledatadefinedoncantorsetsalocalfractionalfourierseriesapproach