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Lecture
Discrete Fourier Transform and FFTW
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Related lectures (30)
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DFT Calculation Examples
Covers examples of Discrete Fourier Transform calculations for different signals and frequencies.
Frequency Estimation: Deterministic Signals with Low Noise Level
Explores frequency estimation in deterministic signals using the DFT and spectral resolution.
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.
Signal Representations
Covers the properties of signal/data representations using Fourier transformations and matrices.
Fourier Series and Analysis
Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.
Frequency Estimation in Deterministic Case (Low Noise)
Covers frequency estimation in deterministic signals using DFT and signal processing.
Signal Processing Fundamentals
Covers signal processing, electric circuits, Fourier Transform, Kirchhoff's laws, and practical applications in various fields.
Discrete-Time Fourier Transform: Properties
Explores the properties of Discrete-Time Fourier Transform, including linearity, time and frequency shifts, time reversal, and convolution.
Fast Fourier Transform: Basics and Applications
Explores the Fast Fourier Transform algorithm for efficient signal processing applications, including dividing signals and analyzing complexity.
Image Processing II: DFT, DCT, and Wavelet Transforms
Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.
