13-15 September 2023, Lancaster, UK

How to distinguish oscillations from noise?

• Linear, stationary, non-stationary, nonlinear, chaotic, stochastic, autonomous and
  non-autonomous processes and systems
•  Time series analyses in time and frequency domains: autocorrelation and Fourier transform
•  Time-frequency analyses: wavelet transform
•  Entropy and information
•  Data-driven and model-driven methods for coupled systems and networks
•  Distinguishing oscillatory modes from high harmonics
•  Methods for extraction of instantaneous frequencies
•  Coherence and phase coherence
•  Direction of coupling and coupling functions
•  Testing hypotheses for dynamical systems using surrogate data
• Applications to physical/climatologic/economic and biomedical processes, including cardiovascular, brain, and cellular dynamics