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Lecture
Signal Representations
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Related lectures (26)
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Stable Laws and Limit Theorems
Explores stable laws, limit theorems, and random variable properties.
Fourier Analysis: Fourier Series and Transform
Explores Fourier series, DFT, FFT, and their applications in signal processing and spectroscopy.
Signal Representation: Fourier Transforms
Covers the representation of signals using Fourier transforms and the properties of signal vectors.
Scaling & Renormalization in Statistical Mechanics
Explores scaling and renormalization in statistical mechanics, emphasizing critical points and invariant properties.
Fourier Filtering
Explores Fourier filtering principles, applications in image processing, and efficient FFT implementation.
Introduction to the Laplace Transform
Covers the Laplace Transform, LTI systems, Fourier Transforms, and properties.
Optimal Transport: Kantorovich Duality
Covers optimal transport and Kantorovich duality in real-life distribution problems.
Fourier Series and Transforms: Introduction and Properties
Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.
Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, and applications in signal processing and differential equations, demonstrating its importance in mathematical analysis.
Signals & Systems I: Fourier Transformation and Distributions
Explores the Fourier transformation, Parseval relation, weak convergence, and generalized transformations in signals and systems.
