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Lecture
The fast Fourier transform
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Related lectures (32)
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The Fourier Transform
Introduces the basics of the Fourier Transform, covering concepts like resolution, periodicity, 2D transforms, amplitude, phase, and convolution.
Numerical Methods: Boundary Value Problems
Covers numerical methods for solving boundary value problems, including applications with the Fast Fourier transform (FFT) and de-noising data.
Discrete-Time Fourier Transform
Introduces the discrete-time Fourier transform and its application to stable LTI systems, covering properties and frequency response.
Fast Fourier Transform (FFT): Lecture 4
Covers the Fast Fourier Transform (FFT) algorithm, interpolation, filters, image processing, and experimental techniques in TEM and STM.
Neurophysiological Data Analysis
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Fourier Transform: Circuit Analysis
Explores the Fourier transform applied to circuit analysis and its properties.
Existence and properties of the DTFT
Explores the existence and properties of the Discrete-Time Fourier Transform (DTFT), including inversion, basis change, and key properties.
Discrete Fourier Transform: Main Properties
Covers the main properties of the Discrete Fourier Transform and convolution methods.
Signals & Systems II: Fourier Transform Properties
Explores the properties of the Discrete-Time Fourier Transform in signal processing.
Fourier Transform Applications: Image Processing Basics
Covers image processing basics, Fourier transformation, convolution, cross-correlation, and 3D reconstruction using the Radon projection theorem.
