
Fourier Transform and Convolution Mechanics
Explore the definitions and proofs of Fourier Transform and Convolution, unraveling the mathematics behind these fundamental concepts through detailed step-by-step explanations.
Download Presentation

Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Fourier Transform Definition: 1 = = ikx ( ) ( ) [ ( )] F k e f x dx f x F 2 1 = = ikx -1 ( ) ( ) [ ( )] f x e F k dk F k F 2
1 = = ikx -1 ( ) ( ) [ ( )] f x e F k dk F k F 2 Proof 1 1 1 = ikx ikx iky ( ) ( ) e F k dk e e f y d ydk 2 2 2 1 = ikx iky ( ) e e dk f y d y 2 = ( ) ( ) f y d y y x = ( ) f x
Convolution in the Fourier Transform Definition: 1 = * ( ) ( ) ( ) f g x f x y g y dy 2 = [ * ] [ ] [ ] f g f g F F F
1 = * ( ) ( ) ( ) f g x f x y g y dy 2 = [ * ] [ ] [ ] f g f g F F F Proof 1 = ikx F-1 [ ] [ ]] [ ] [ ] f g e f g dk [F F F F 2 1 1 1 = ikx ik x ik x ( ) ( ) e e f x d x e g x d x dk 2 2 2 1 1 = ikx ik x ik x ( ) ( ) f x d x g x d x e e e dk 2 2 1 = ( ) ( ) ( ) f x d x g x d x x x x 2 1 = = ( ) ( ) * ( ) f x x g x d x f g x 2