Electrical and Computer Engineering
2332 Main Mall
Vancouver,
BC
Canada
V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:
info@ece.ubc.ca
| Title | A globally convergent modified OE IIR adaptive filter for sufficient modeling |
| Publication Type | Conference Paper |
| Year of Publication | 1998 |
| Authors | Mayyas, K., and T. Aboulnasr |
| Conference Name | Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on |
| Pagination | 1729 -1732 vol.3 |
| Date Published | may. |
| Keywords | adaptive filters, adaptive signal processing, adaptive update scheme, convergence of numerical methods, error analysis, error surface, filtering theory, globally convergent modified filter, IIR filters, input signal whitening, least mean square, least mean squares methods, LMS, OE IIR adaptive filter, sufficient modeling |
| 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 |
| URL | http://dx.doi.org/10.1109/ICASSP.1998.681792 |
| DOI | 10.1109/ICASSP.1998.681792 |