A complex-valued adaptive filter algorithm for system identification problem
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, a complex-valued adaptive filter algorithm based on Lyapunov stability theory is presented to solve a system identification problem in the complex domain. The performance of the proposed complex-valued Lyapunov adaptive filter (CLAF) algorithm is improved for the complex-valued system identification problem by integrating the LST into the filter optimization cost. The performance of the proposed algorithm is tested on a complex-valued moving average (MA) system identification problem and compared with the conventional complex-valued least mean square (CLMS) and complex-valued normalized least mean square (CNLMS) algorithms. The simulation results show that the proposed CLAF algorithm has achieved a faster convergence rate and a lower steady-state MSE performance when compared to the other algorithms. © 2015 Chamber of Electrical Engineers of Turkey.
Açıklama
9th International Conference on Electrical and Electronics Engineering, ELECO 2015 -- 26 November 2015 through 28 November 2015 -- Bursa -- 119202
Anahtar Kelimeler
Adaptive filters, Bandpass filters, Optimization, Religious buildings, Complex domains, Faster convergence, Filter algorithm, Filter optimization, Least mean squares, Lyapunov stability theory, Normalized least mean square, System identification problems, Algorithms
Kaynak
ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering
WoS Q Değeri
Scopus Q Değeri
N/A
