Sampling Signals: Stroboscopic Effect (Spectrum Folding)

This lecture explains the consequences of undersampling a signal, using the example of a pure sine wave. It covers the appearance of slower frequency sinusoids and the stroboscopic effect. The instructor introduces the concept of sampling theorem, stating that the condition fe > 2f is necessary to reconstruct the original signal. The lecture concludes with visual examples illustrating the stroboscopic effect.