Power Spectrum Estimation Using AR Models

This implementation demonstrates power spectrum estimation using AR (AutoRegressive) models, which offers significant advantages over classical spectrum estimation methods and represents a modern estimation approach. The method involves fitting parametric AR models to time series data and calculating spectral density through coefficients analysis, typically implemented using algorithms like Yule-Walker equations or Burg's method in signal processing libraries.