Time Series: Spectral Analysis and Linear Filtering

This lecture by the instructor covers the concepts of spectral analysis and linear filtering in time series. It delves into properties of spectral density functions, Lebesgue decomposition theorem, sampling, aliasing, and the characteristics of digital filters. The lecture also discusses the Nyquist frequency, frequency correspondence, and the transfer function in linear time-invariant filters.