A modified adaptive IIR filter design via wavelet networks based on Lyapunov stability theory
Küçük Resim Yok
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPRINGER
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, we present a wavelet network IIR filtering system satisfying asymptotic stability in the sense of Lyapunov unlike many other gradient descent algorithms based adaptive filtering systems. The proposed system also carries the advantages of the time-frequency specific properties of wavelet networks embedded into the proposed filter dynamics. Two experiments for system identification problems corresponding to the infinite impulse response filter design are proposed. The results verified that the proposed wavelet network infinite impulse response adaptive filtering system not only performs better than gradient descent based algorithms but also performs as good as other stability theory based optimization algorithms.
Açıklama
Anahtar Kelimeler
adaptive filtering, IIR filter, wavelet network, Lyapunov stability theory
Kaynak
NEURAL COMPUTING & APPLICATIONS
WoS Q Değeri
Q4
Scopus Q Değeri
Q1
Cilt
17
Sayı
45448
