Dirac comb

Applied sciences
Information engineering
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Fourier analysis

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Related lectures (31)

Fourier Transform Pairs and System Analysis

Covers Fourier transform pairs, system analysis with difference equations, and frequency response.

Non-Parametric Estimation: Kernel Density Estimators

Explores non-parametric estimation using kernel density estimators to estimate distribution functions and parameters, emphasizing bandwidth selection for optimal accuracy.

Signals & Systems I: Distributions and Linear Systems

Covers distributions, linear systems, impulse response, convolution, and examples of linear systems.

Sampling: Signal Reconstruction and Aliasing

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Fourier Series: Periodic Functions and Sine/Cosine Interactions

Covers the Fourier series and interactions between sine and cosine functions.

Convolution Theorem: Sampling and Point Spread Functions

Covers the Convolution Theorem and Sampling and Point Spread Functions in image processing.

Particle decay rates

Explores particle decay rates through Fermi's Golden Rule and perturbation theory.

Signal Sampling and Reconstruction

Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.

Fourier Transforms: Dirac Delta, Fourier Integral, and Transform

Explores the Dirac delta, Fourier integral, and Fourier transform applications in solving PDE problems.

Electrodynamics: Gauge Invariance and Electrostatics

Explores gauge invariance, electrostatics, Maxwell's equations, and boundary conditions.

Nyquist Rate and Sampling Theorem

Explains the Nyquist rate and Sampling Theorem for reconstructing band-limited signals through examples and sampling techniques.

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