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   -> Volume 5, Issue 9

Question: Wavelet dictionary - system identification
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Frode Martinsen (

PostPosted: Fri Oct 11, 1996 10:50 am    
Subject: Question: Wavelet dictionary - system identification
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#21 Question: Wavelet dictionary - system identification

This inquiry is a bit unprecise. I've "heard" that the term "wave
dictionary" implicates adapting basis-functions on the data (i.e.
switching between gaussian/mexican hat automatically). This can be of
great interest to us. In system identification adapting to different
styles on nonlinearity might improve the representation. (Discontinous
vs. smooth nonlinearities etc.) We have been using wavelet networks
for systemidentification with good results, but the number of required
parameteres is troublesome. Are the any other ways/ideas on how to
apply wavelets to control theory/system identification? Replacing the
constants in the network-weights with functions (an operating regime
decomposition approach, NARMAX) might be favourable. Anyone out there
with comments on this?

Frode Martinsen

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