Title :
A globally convergent modified OE IIR adaptive filter for sufficient modeling
Author :
Mayyas, K. ; Aboulnasr, T.
Author_Institution :
Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid, Jordan
Abstract :
A modification to the OE IIR system structure is proposed to ensure global convergence for sufficient modeling of the unknown system. The proposed structure is effectively equivalent to whitening the input signal before being applied to the original OE setup. This guarantees the unimodality of the error surface for sufficient modeling. An adaptive update scheme for the new structure is derived based on the least mean square (LMS) technique. Examples are provided to demonstrate the effectiveness of the proposed structure under different conditions
Keywords :
IIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; error analysis; filtering theory; least mean squares methods; LMS; OE IIR adaptive filter; adaptive update scheme; error surface; globally convergent modified filter; input signal whitening; least mean square; sufficient modeling; Adaptive filters; Equations; Finite impulse response filter; IIR filters; Information technology; Integrated circuit modeling; Least squares approximation; Stability; Sufficient conditions; Switches;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681792
