What is co spectra?

Co-spectra, or co-spectral analysis, refers to a method used in signal processing and time series analysis to examine the relationship between two signals in the frequency domain. It involves calculating the cross-spectral density, which helps identify how the power of one signal is distributed in relation to another across different frequencies. This analysis is particularly useful in fields like neuroscience, economics, and environmental science, where understanding the interactions between variables over time is crucial. By examining co-spectra, researchers can gain insights into the underlying dynamics and correlations between complex systems.