DocumentCode
2605496
Title
A generalized Volterra series method for reconstructing deterministic dynamics from noisy chaotic time series
Author
Pei, W.J. ; He, Z.Y. ; Yang, LX ; Song, A.G. ; Hull, S.S. ; Cheung, J.Y.
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume
2
fYear
2002
fDate
2002
Firstpage
491
Abstract
Many problems such as over-fitting and subset selection are introduced in the standard Volterra model (SVM) in reconstructing deterministic dynamics from noisy chaotic time series. An optimal transformed Volterra filtering (OTVF) with only a small number of Volterra terms able to reconstruct the underlying determinism was presented.
Keywords
Volterra series; chaos; filtering theory; random noise; signal reconstruction; time series; deterministic dynamics reconstruction; generalized Volterra series method; noisy chaotic time series; optimal transformed Volterra filtering; Chaos; Equations; Expectation-maximization algorithms; Filtering; Helium; Noise measurement; Noise reduction; Signal sampling; Support vector machines; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on
Print_ISBN
0-7803-7690-0
Type
conf
DOI
10.1109/APCCAS.2002.1115318
Filename
1115318
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