Fourier Series: Periodic Functions

Related lectures (27)

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Covers Fourier series convergence, Dirichlet theorem, and applications in signal processing.

Covers the concept of Fourier series and their practical applications in signal processing.

Explores real functions, covering parity, periodicity, and polynomial functions.

Covers functions, including even and odd functions, periodicity, and function operations.

Explores Fourier series coefficients, periodicity, and series relations.

Explores trigonometric polynomials, periodicity, and Fourier coefficients in mathematical analysis.

Covers determinantal point processes, sine-process, and their extrapolation in different spaces.

Explores the general solutions for wave propagation and Fourier transforms in periodic functions.

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Explores the theory and applications of Fourier series, including convergence properties and piecewise-defined functions.