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Article

Fractional Order Graph Filters: Design and Implementation

School of Information Science and Technology, Fudan University, Shanghai 200433, China
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Author to whom correspondence should be addressed.
Electronics 2021, 10(4), 437; https://doi.org/10.3390/electronics10040437
Submission received: 10 January 2021 / Revised: 31 January 2021 / Accepted: 5 February 2021 / Published: 10 February 2021
(This article belongs to the Section Circuit and Signal Processing)

Abstract

Existing graph filters, polynomial or rational, are mainly of integer order forms. However, there are some frequency responses which are not easily achieved by integer order approximation. It will substantially increase the flexibility of the filters if we relax the integer order to fractional ones. Motivated by fractional order models, we introduce the fractional order graph filters (FOGF), and propose to design the filter coefficients by genetic algorithm. In order to implement distributed computation on a graph, an FOGF can be approximated by the continued fraction expansion and transformed to an infinite impulse response graph filter.
Keywords: graph signal processing; graph filter; fractional order filter design graph signal processing; graph filter; fractional order filter design

Share and Cite

MDPI and ACS Style

Qiu, X.; Feng, H.; Hu, B. Fractional Order Graph Filters: Design and Implementation. Electronics 2021, 10, 437. https://doi.org/10.3390/electronics10040437

AMA Style

Qiu X, Feng H, Hu B. Fractional Order Graph Filters: Design and Implementation. Electronics. 2021; 10(4):437. https://doi.org/10.3390/electronics10040437

Chicago/Turabian Style

Qiu, Xinyi, Hui Feng, and Bo Hu. 2021. "Fractional Order Graph Filters: Design and Implementation" Electronics 10, no. 4: 437. https://doi.org/10.3390/electronics10040437

APA Style

Qiu, X., Feng, H., & Hu, B. (2021). Fractional Order Graph Filters: Design and Implementation. Electronics, 10(4), 437. https://doi.org/10.3390/electronics10040437

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