Fourier Transform and Spectral Densities

Related lectures (30)

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Covers the basics of signal processing, linear estimation, and digital filters.

Explains the basics of Fourier transform and demonstrates its application through examples, including periodic functions and Fourier Transform Pairs.

Covers signal processing, electric circuits, Fourier Transform, Kirchhoff's laws, and practical applications in various fields.

Covers the basics of signal processing and electric circuits.

Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.

Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.

Covers numerical methods for solving boundary value problems using Crank-Nicolson and FFT.

Explores stochastic calculus, emphasizing integrals, processes, martingales, and Brownian motion.

Provides an overview of Fourier and Laplace transforms, their properties, and applications in signal analysis.

Covers the fundamentals of Brownian motion and its applications in various fields.