This lecture covers the properties and applications of the Fourier transform, including basic properties, continuity, and the concept of series. It also explores the Fourier transform of Gaussian functions and its relation to Heisenberg's uncertainty principle.
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Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.