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Proceedings Paper

Multiscale nonlinear system modeling using wavelet networks
Author(s): Aweke N. Lemma; Ed F. A. Deprettere; Yi Yu; Shaohua Tan
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Paper Abstract

Using wavelet networks, it is possible to capture the characteristics of non-linear dynamic systems in a multi- scale modeling strategy. Starting from the coarsest approximation we go step-wise to the finer scales. At each step the error signal or the residue of the system is modeled. This procedure is repeated until the residual drops below some modeling error bound. The modeling is carried out using compactly supported biorthogonal wavelets. By choosing appropriate wavelet basis, it is possible to obtain a near optimal model.

Paper Details

Date Published: 23 October 1996
PDF: 6 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255270
Show Author Affiliations
Aweke N. Lemma, Delft Univ. of Technology (Netherlands)
Ed F. A. Deprettere, Delft Univ. of Technology (Netherlands)
Yi Yu, National Univ. of Singapore (Singapore)
Shaohua Tan, National Univ. of Singapore (Singapore)


Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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