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This lecture introduces the Discrete Fourier Transform (DFT) and its definition using the Fourier Basis for Complex Numbers. It covers the basis expansion in both signal and vector notations, the analysis and synthesis formulas, and the change of basis in matrix form. The lecture also explains the N-point signal representation in the frequency and time domains.