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A Guide to the FFT-2nd Edition Plus

by Daniele Disco

 

09 Aug 2004 (Updated 05 Oct 2009)

A guide to the use of the fft algorithm.

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Description

The fft of 3 functions are compared with their analytic transforms. The method proposal produce results that are super imposable with the theoretical predictions.
Odd and even number of points are considered.
(The algorithm works correctly in both cases).

MATLAB release MATLAB 7.1.0 (R14SP3)
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Comments and Ratings (22)
13 Aug 2004 Robert Chen

It's very useful to me.
Thank you very much!

14 Mar 2005 peng peng

helpful for student as me !

19 Mar 2005 ding ding

very useful to a novice like me!
3q

21 Jun 2005 srinu jella

u guys r impoptant for students like us. because we are in the initial stage of learning.we can learn from u .

06 Aug 2005 samudrala jagadeesh

this is a good file for the users also beginers for filter designers thanks for the support

29 Sep 2005 Gunasekaran Shanmgam

Gives nice overview of all FFT's

15 Oct 2005 Wynn Ko Ko

Need to be improved.

31 Oct 2005 ISABEL CRISTINA GOMEZ

Gracias

21 Sep 2006 michel sebes  
30 Oct 2006 ilaria eos  
24 Nov 2006 you you  
15 Dec 2006 Yani Jerome

I've found FourierTransform.m (ID 13327) very usefull too

30 Dec 2006 Vishnuvenkatesh Dhage  
03 Jan 2007 Andrey Worobey

Thanks so much man!!!

I have been looking for the solution for a year!

27 Feb 2007 B. Roossien

It's a good start, but the script contains the "clear all" and "close all" commands, which is a very bad habit to do.

21 Mar 2007 M. Ashrith Kumar

its very good !! but slightly need for improvement

18 Jun 2007 Fabrice Chane-Ming  
05 Mar 2008 li taotao

Great,I like this file very much

08 Aug 2008 Robert Kariniemi

Excellent description of the theory of the FFT.
But my code threw up errors...cannot define functions at this point?? Could not run it now. I will have to look into it a little.

02 Mar 2009 shan Kou  
02 Mar 2009 shan Kou

its very good - explains finally why we need fftshift twice. However, it should be stressed that the method works only for data of even size. For odd size data, the amplitude is correct but spectral phase will be wrong.

28 Nov 2011 b3824855

Thank you very much! This is exactly what I was looking for.

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Updates
13 Aug 2004

grammatical errors

11 Apr 2007

Correct some suggestions

05 Oct 2009

Odd and even number of points are considered.

Tag Activity for this File
Tag Applied By Date/Time
spectral analysis Daniele Disco 22 Oct 2008 07:29:22
fft Daniele Disco 22 Oct 2008 07:29:22
fast fourier transform Daniele Disco 22 Oct 2008 07:29:22
signal processing Daniele Disco 22 Oct 2008 07:29:22
spectral analysis Sarah Ibrahim 24 Nov 2008 10:10:20
fast fourier transform luis lemus 16 Mar 2009 18:08:45
spectral analysis muslum 25 Oct 2009 22:54:59
fast fourier transform Mikael 18 May 2011 02:31:40

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