Lectures related to Fourier analysis

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

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

Explores the properties of the Discrete-Time Fourier Transform in signal processing.

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

Explores Fourier optics, diffraction principles, Fourier analysis, and the application of Fourier transform in optics.

Explores orthogonal sinusoids, Fourier coefficients, spectrum of signals, and complex Fourier series.