Enhancing Dynamic-Mode Decomposition via Multi-Scale Analysis
Dynamical Systems
2026-01-14 v2
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.
Cite
@article{arxiv.2001.02795,
title = {Enhancing Dynamic-Mode Decomposition via Multi-Scale Analysis},
author = {Christopher W. Curtis},
journal= {arXiv preprint arXiv:2001.02795},
year = {2026}
}
Comments
Never developed this work towards full publication