Computing Characateristic Functions

The calculation of characteristic functions is a crucial technique in time series analysis, aimed at extracting the intrinsic properties of time series data through mathematical methods to reveal its underlying patterns and structures. This approach transforms time series into functional representations in a feature space, enabling efficient modeling and analysis of complex dynamic systems. It is widely applied in signal processing, financial forecasting, system identification, and other fields, possessing significant theoretical and practical value.