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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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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