DocumentCode
1896883
Title
A novel adaptive filter algorithm for tracking of chaotic time series
Author
Mengüç, Engin Cemal ; Acir, Nurettin
Author_Institution
Elektrik-Elektron. Muhendisligi Bolumu, Nigde Univ., Turkey
fYear
2011
fDate
20-22 April 2011
Firstpage
490
Lastpage
493
Abstract
In this study, a novel tracking filter algorithm is proposed satisfying stability in the sense of Lyapunov and is performed which is independent of statistical properties of input. The robustness of the proposed filter is presented by using two benchmark chaotic time series found in the literature. The proposed filter is compared with well known classical filters and performed in a high performance.
Keywords
Lyapunov methods; adaptive filters; time series; Lyapunov methods; adaptive filter algorithm; benchmark chaotic time series; statistical properties; tracking filter algorithm; Adaptive filters; Conferences; Filtering algorithms; Least squares approximation; Signal processing algorithms; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location
Antalya
Print_ISBN
978-1-4577-0462-8
Electronic_ISBN
978-1-4577-0461-1
Type
conf
DOI
10.1109/SIU.2011.5929694
Filename
5929694
Link To Document