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arXiv · 2001.02795

Enhancing Dynamic-Mode Decomposition via Multi-Scale Analysis

Christopher W. Curtis
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Abstract

Through the use of wavelet based Besov norms, we compute nontrivial multiscale nonlinear features of a given data set so as to enhance the standard Dynamic-Mode Decomposition algorithm. Thus we are able to build sophisticated observables which enhance algorithm performance without placing undue computational burdens on the user.

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Christopher W. Curtis. 2020-01-09. Enhancing Dynamic-Mode Decomposition via Multi-Scale Analysis. https://arxiv.org/abs/2001.02795

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