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Published in 2019 at "Journal of Nonlinear Science"
DOI: 10.1007/s00332-019-09548-1
Abstract: We present a data-driven framework for extracting complex spatiotemporal patterns generated by ergodic dynamical systems. Our approach, called vector-valued spectral analysis (VSA), is based on an eigendecomposition of a kernel integral operator acting on a…
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Keywords:
vector;
vector valued;
spectral analysis;
operator ... See more keywords