Any fractional order bionic neural-type pulse oscillator

Author

Zhou, Jiliu ; Pu, Yifei ; Liao, Ke

Author_Institution

Sch. of Comput. Sci. & Technol., Sichuan Univ., Chengdu

fYear

2006

fDate

19-21 Jan. 2006

Lastpage

919

Abstract

First, the paper studies an efficient numerical algorithm for signal´s fractional calculus and wavelet transform. It studies Grumwald-Letnikov definition for fractional calculus. Then it dissertates a numerical algorithm for signal´s fractional calculus based on Grumwald-Letnikov definition. It studies the relationship between the fractional calculus and wavelet transform. Then it dissertates an efficient numerical algorithm for signal´s fractional calculus based on wavelet transform. Last, the paper puts forward and analyzes how to implement any fractional order bionic neural-type pulse oscillator by efficient numerical algorithm for signal´s fractional calculus. By computer simulation, the fractional order bionic neural-type pulse wave accurately simulates actual biology neural-type pulse wave´s shape characteristic by and large

Keywords

biocybernetics; calculus; network analysis; neural nets; oscillators; pulse circuits; wavelet transforms; Grumwald-Letnikov definition; fractional calculus; fractional order bionic neural-type pulse oscillator; wavelet transform; Algorithm design and analysis; Biological system modeling; Computational biology; Computational modeling; Computer simulation; Fractional calculus; Oscillators; Pulse shaping methods; Signal analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

Conference_Location

Harbin

Print_ISBN

0-7803-9395-3

Type

conf

DOI

10.1109/ISSCAA.2006.1627475

Filename

1627475