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Lecture
Fourier Series: Theory and Applications
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Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Fourier Series and Transforms: Introduction and Properties
Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.
Fourier Series: Periodic Functions and Calculations
Covers Fourier series for periodic functions and calculations involving Fourier coefficients.
Poisson Problem: Periodic Boundary Conditions
Explores the Poisson problem with periodic boundary conditions and the application of Fourier series in mathematical modeling.
Signal Representations
Covers matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods.
Introduction to Quantum Mechanics
Introduces quantum mechanics, covering S-matrix, scattering amplitudes, and optical theorem.
Fourier Series: Harmonic Analysis
Covers the Fourier series representation of periodic signals and harmonic analysis.