DocumentCode
3355303
Title
Noise Reduction in Chaotic Signals by Using Wiener and Kalman Filtering Methods
Author
Çek, Emre ; Oral, Ömer ; Akay, Olcay
Author_Institution
Elektrik ve Elektron. Muhendisligi Bolumu, Izmir Yuksek Teknoloji Enstitusii, Izmir
fYear
2007
fDate
11-13 June 2007
Firstpage
1
Lastpage
4
Abstract
In this paper, the additive white noise was filtered from chaotic signals obtained by logistic map by using Wiener, extended and unscented Kalman filters, respectively. Performances of each method were compared by finding mean square error versus signal to noise ratio (SNR) and correlation dimension which is one of the invariants of the chaotic dynamical systems. It was observed that, each method exhibits different MSE performances depending on the particular signal to noise ratio.
Keywords
Kalman filters; Wiener filters; chaos; interference suppression; mean square error methods; Kalman filtering methods; SNR; Wiener filtering methods; additive white noise filtering; chaotic signals; correlation dimension; mean square error; noise reduction; signal-to noise ratio; Additive white noise; Chaos; Filtering; Kalman filters; Logistics; Mean square error methods; Noise reduction; Signal to noise ratio; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location
Eskisehir
Print_ISBN
1-4244-0719-2
Electronic_ISBN
1-4244-0720-6
Type
conf
DOI
10.1109/SIU.2007.4298691
Filename
4298691
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