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

Joint Authors

Zhong, Wei-Ping
Chen, Zhi-Yong
Cattani, Carlo

Source

Advances in Mathematical Physics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-09

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Physics

Abstract EN

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.

American Psychological Association (APA)

Chen, Zhi-Yong& Cattani, Carlo& Zhong, Wei-Ping. 2014. Signal Processing for Nondifferentiable Data Defined on Cantor Sets : A Local Fractional Fourier Series Approach. Advances in Mathematical Physics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-480868

Modern Language Association (MLA)

Chen, Zhi-Yong…[et al.]. Signal Processing for Nondifferentiable Data Defined on Cantor Sets : A Local Fractional Fourier Series Approach. Advances in Mathematical Physics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-480868

American Medical Association (AMA)

Chen, Zhi-Yong& Cattani, Carlo& Zhong, Wei-Ping. Signal Processing for Nondifferentiable Data Defined on Cantor Sets : A Local Fractional Fourier Series Approach. Advances in Mathematical Physics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-480868

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-480868