Lecture
This lecture covers the analysis of stationary waveforms, focusing on the concept of stationarizing signals and the properties of self-similarity and linearity. The instructor discusses examples and techniques for transforming signals to achieve stationarity, emphasizing the importance of understanding the encoder waveform. The lecture also delves into the principles of quasi-stationarity and the process of expressing signals in terms of different variables. Various methods for achieving stationarity and the implications of linearity in signal processing are explored.