Fourier Phase Index for Extracting Signatures of Determinism and Nonlinear Features in Time Series

Explore a comprehensive lecture on the Fourier Phase Index and its applications in extracting signatures of determinism and nonlinear features from time series data. Delve into advanced concepts presented by experts from the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) over the course of 57 minutes. Gain insights into the mathematical foundations and practical implementations of this powerful analytical tool, understanding how it can be utilized to uncover hidden patterns and characteristics in complex time-dependent systems. Learn to apply these techniques across various scientific disciplines, enhancing your ability to interpret and analyze intricate temporal data sets.

Fourier Phase Index for Extracting Signatures of Determinism and Nonlinear Features in Time Series