Covers the stochastic properties of time series, stationarity, autocovariance, special stochastic processes, spectral density, digital filters, estimation techniques, model checking, forecasting, and advanced models.
Introduces mathematical tools for communication systems and data science, focusing on stochastic processes and preparing students for advanced courses.
