NDLI: Parallel evolutionary method for analog state variable transconductance filter

Content Provider	IEEE Xplore Digital Library
Author	Yao Li Xuehua Zhang
Copyright Year	2011
Description	Author affiliation: Physics School, Beihua University, Jilin City, China (Yao Li; Xuehua Zhang)
Abstract	In order to improve precision of the filter's parameters and performance indexes, meet the real-time requirements, an evolvable hardware structure and design method for an analogue evolvable transconductance filter was presented. Genetic operations, multi-objective fitness functions and migration strategy to multi-objective parallel genetic algorithm was improved. Evolutionary efficiency of the algorithm was improved. Optimization design of the filter was realized by improved multi-objective parallel genetic algorithm. In the course of design of the state variable transconductance filter with high Q value, the in-system programmability programmable analog circuits was used, and structure of the four-order bandpass state variable transconductance filter was built by cascade method, which was able to meet performance requests in its stop band, passband, transition band, and the filter's practicality had been simulated and verified. Values of evolutionary parameters are in line with theoretical values exceedingly, and simulation results are satisfying.
Starting Page	223
Ending Page	228
File Size	363518
Page Count	6
File Format	PDF
ISBN	9781612847191
e-ISBN	9781612847221
DOI	10.1109/MEC.2011.6025441
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering algorithms Multi-objective parallel genetic algorithm Band pass filters Filtering theory Hardware In-system programmability programmable analog circuits Evolvable hardware State variable transconductance filter Transconductance Genetic algorithms Convergence
Content Type	Text
Resource Type	Article

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