A novel adaptive filter algorithm for tracking of chaotic time series
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2011 IEEE.
Açıklama
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 -- 20 April 2011 through 22 April 2011 -- Antalya -- 85528
Anahtar Kelimeler
Adaptive filters, Signal processing, Time series, Chaotic time series, Classical filters, Filter algorithm, Lyapunov, Statistical properties, Tracking filter, Adaptive algorithms
Kaynak
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
WoS Q Değeri
Scopus Q Değeri
N/A
