Topic: Weak Stationarity and Spectral Representation

White Noise, Geometric, and Periodic Covariances

Weak Stationarity and Autocovariance Functions

Transfer Functions and Spectral Filtering

The Spectral Representation of Stationary Sequences

Testing Candidate Covariance Sequences

Structural Identities for Covariance Sequences

Stable Autoregressive Filters and Resonance

Spectral Moments and Mean-Square Differences

Spectral Densities and Fourier Inversion

Spectral Lines and Periodic Components