Published July 6, 2021 | Version v1
Preprint Open

Eigenvalues of Autocovariance Matrix: A Practical Method to Identify the Koopman Eigenfrequencies

Authors/Creators

  • 1. Ifremer
  • 2. Inria
  • 3. Jiangsu Ocean University

Description

This is the code and data that reproduces the numerical results presented in

https://arxiv.org/abs/2107.01948

The title of the paper might have been changed during revision.

This code implements the algorithm based on trajectory matrix.

1, To reproduce the Lorenz experiments, first run get_data_L63.py . Then change the value of variable exp in   main_L63.py : exp = 'L63' or 'L63_S1'

2, To reproduce the SSH results, simply run main_SSH.py

Files

paper_Hankel_Koopman.zip

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