Fractional Order Graph Filters: Design and Implementation

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....

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Main Authors: Xinyi Qiu, Hui Feng, Bo Hu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/4/437
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spelling doaj-ad3be235fbbf46ae91497a589b361f992021-02-11T00:01:21ZengMDPI AGElectronics2079-92922021-02-011043743710.3390/electronics10040437Fractional Order Graph Filters: Design and ImplementationXinyi Qiu0Hui Feng1Bo Hu2School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaSchool of Information Science and Technology, Fudan University, Shanghai 200433, ChinaSchool of Information Science and Technology, Fudan University, Shanghai 200433, ChinaExisting 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.https://www.mdpi.com/2079-9292/10/4/437graph signal processinggraph filterfractional order filter design
collection DOAJ
language English
format Article
sources DOAJ
author Xinyi Qiu
Hui Feng
Bo Hu
spellingShingle Xinyi Qiu
Hui Feng
Bo Hu
Fractional Order Graph Filters: Design and Implementation
Electronics
graph signal processing
graph filter
fractional order filter design
author_facet Xinyi Qiu
Hui Feng
Bo Hu
author_sort Xinyi Qiu
title Fractional Order Graph Filters: Design and Implementation
title_short Fractional Order Graph Filters: Design and Implementation
title_full Fractional Order Graph Filters: Design and Implementation
title_fullStr Fractional Order Graph Filters: Design and Implementation
title_full_unstemmed Fractional Order Graph Filters: Design and Implementation
title_sort fractional order graph filters: design and implementation
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2021-02-01
description 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.
topic graph signal processing
graph filter
fractional order filter design
url https://www.mdpi.com/2079-9292/10/4/437
work_keys_str_mv AT xinyiqiu fractionalordergraphfiltersdesignandimplementation
AT huifeng fractionalordergraphfiltersdesignandimplementation
AT bohu fractionalordergraphfiltersdesignandimplementation
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