Aliasing for Arbitrary Spectra

This lecture covers the concept of aliasing in signal processing, focusing on raw-sampling arbitrary signals and the manipulation of their spectra. It explains how frequencies can be aliased and the integration intervals split to avoid distortion. The lecture also delves into the spectrum of raw-sampled signals, emphasizing the importance of setting appropriate parameters to prevent aliasing. Through examples, the instructor illustrates the effects of bandlimitation on signals and demonstrates the implications of non-bandlimited signals in the context of aliasing.