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This lecture introduces the concept of discrete Fourier transform (DFT) and its importance in digital signal processing. The instructor explains the periodic nature of DFT, the process of sampling the Fourier transform, and the implications of discretization on signal reconstruction. By discretizing the frequency domain, the lecture explores the trade-off between computational feasibility and information loss in signal processing.