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|Title:||Multi-scale non-linear system modeling using wavelet networks|
|Citation:||Lemma, A.N., Deprettere, E.F.A., Yu, Y., Tan, S. (1996). Multi-scale non-linear system modeling using wavelet networks. Proceedings of SPIE - The International Society for Optical Engineering 2825 : 600-605. ScholarBank@NUS Repository. https://doi.org/10.1117/12.255270|
|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. ©2005 Copyright SPIE - The International Society for Optical Engineering.|
|Source Title:||Proceedings of SPIE - The International Society for Optical Engineering|
|Appears in Collections:||Staff Publications|
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