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This lecture covers the concepts of sampling and reconstruction in signal processing, including the Fourier Transform, ideal sampling, the Nyquist theorem, and ideal reconstruction. It explains how analog signals are converted into digital signals and vice versa, emphasizing the importance of sampling frequency and reconstruction techniques.