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- www.mathworks.com
  
  Image Transforms - MATLAB & Simulink - MathWorks
  
  Perform Fourier, Discrete Cosine, Radon, and Fan-beam transforms.
  
  2025-09-28
  
  瀏覽：799
- www.mathworks.com
  
  Fourier Transform - MATLAB & Simulink
  
  Defines the Fourier transform and some of its applications in image processing ... Definition of Fourier Transform The Fourier transform is a representation of an image as a sum of complex exponentials of varying magnitudes, frequencies, and phases.
  
  2025-10-02
  
  瀏覽：644

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How to Blur an Image with a Fourier Transform in Matlab - Part I | Matlab Geeks

日期：2025-10-03

Hi Eric, thank you for this article. Something still puzzles me though. How come padding in spatial domain can eliminate aliasing? The width of a pixel does not change and this gives the same sampling frequency. The maximum frequency in the fourier transf...

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MATLAB Central - Steve on Image Processing » Continuous-time Fourier transform basics

日期：2025-10-02

The existence of multiple transform flavors, as well as the details of their relationships, is at the heart of much of the confusion on this topic. Let's start with the continuous-time Fourier transform. (When the context makes it clear whether I'm talkin...

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MATLAB Central - Steve on Image Processing » Continuous-time Fourier transform of windowed cosine

日期：2025-09-30

Last week I showed a couple of continuous-time Fourier transform pairs (for a cosine and a rectangular pulse). Today I want to follow up by discussing ... 10 Comments Oldest to Newest Drazick replied on December 16th, 2009 at 20:34 UTC: 1 of ......

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Fast Fourier transform - Wikipedia, the free encyclopedia

日期：2025-09-27

A fast Fourier transform (FFT) is an algorithm to compute the discrete Fourier transform (DFT) and its inverse. Fourier analysis converts time (or space) to frequency and vice versa; an FFT rapidly computes such transformations by factorizing the DFT matr...

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Lecture 1 - University of Maryland Institute for Advanced Computer Studies

日期：2025-10-03

DATE LECTURE CONTENTS 01/26/2005 Lecture 1 Introduction, Course rules, exams Course outline Introduction to vision. Vision is an inferential process. Applications 01/31/2005 Lecture 2 Image formation-I: Geometry: Pinhole camera. Central ......

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