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Design of wideband non-equiripple filtering response using genetic algorithm based neural network
Cui, Shiqing1; Sun, Sheng2; Gao, Shan Shan3; Zhu, Lei1
2014
Conference NameProgress in Electromagnetics Research Symposium (PIERS)
Source PublicationProgress in Electromagnetics Research Symposium
Pages1364-1368
Conference DateAUG 25-28, 2014
Conference PlaceGuangzhou, PEOPLES R CHINA
Abstract

In this paper, the wideband multiple-mode-based bandpass filter with non-equiripple response is designed using genetic algorithm based neural network. The neural network is first employed to reduce the complexity in the design of wideband in-band equiripple response. With-out deriving analytic solutions or solving non-linear equations, the coefficients of polynomials for the filters with non-equiripple responses can also be determined. Finally, the filters with both the five-pole equiripple and non-equiripple bandpass responses are designed and demonstrated. The accuracy of the proposed optimization method is also discussed in details.

URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaEngineering ; Physics
WOS SubjectEngineering, Electrical & Electronic ; Physics, Applied
WOS IDWOS:000393225900304
Scopus ID2-s2.0-84911167119
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.University of Hong Kong Dept EEE HONG KONG, HONG KONG, PEOPLES R CHINA
2.University of Electronic Science & Technology of China Sch Elect Sci & Engn CHENGDU, PEOPLES R CHINA
3.Key Lab Farshore Wind Power Technol Zhejiang Prov HANGZHOU, PEOPLES R CHINA
4.University of Macau Dept Elect & Comp Engn TAIPA, MACAO, PEOPLES R CHINA
Recommended Citation
GB/T 7714
Cui, Shiqing,Sun, Sheng,Gao, Shan Shan,et al. Design of wideband non-equiripple filtering response using genetic algorithm based neural network[C], 2014, 1364-1368.
APA Cui, Shiqing., Sun, Sheng., Gao, Shan Shan., & Zhu, Lei (2014). Design of wideband non-equiripple filtering response using genetic algorithm based neural network. Progress in Electromagnetics Research Symposium, 1364-1368.
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