Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data

no code implementations • 4 Nov 2019 • Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón, Andrea Mammoli, Atsushi Ishigame

Koopman Mode Decomposition (KMD) is a technique of nonlinear time-series analysis that originates from point spectrum of the Koopman operator defined for an underlying nonlinear dynamical system.

regression Time Series +1