The article introduces different aspects of stationary processes, such as spectral distribution, orthogonal increment process, linear filter, and response function. It explains how autocovariance functions are represented spectrally and discusses the relationship between linear filters and response functions. The article also touches on a classic ANOVA approach in time series.