What is wavelet coherence causality?
Wavelet coherence causality is a method used in the field of signal processing to identify causal relationships between different time series data. It involves analyzing the coherence between two signals at different frequencies using wavelet analysis, which allows for the detection of both short-term and long-term relationships. By examining how the phases and amplitudes of the signals are related, researchers can determine if one signal is driving changes in the other, providing valuable insights into the underlying dynamics of complex systems.
This mind map was published on 21 February 2024 and has been viewed 73 times.
