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*[[Compute DFT practice no1 ECE438F11|Practice Question on DFT computation]] from [[ECE438]]
 
*[[Compute DFT practice no1 ECE438F11|Practice Question on DFT computation]] from [[ECE438]]
 
*[[Compute DFT practice no2 ECE438F11|Practice Question on DFT computation]] from [[ECE438]]
 
*[[Compute DFT practice no2 ECE438F11|Practice Question on DFT computation]] from [[ECE438]]
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*[[Discrete_Fourier_Transform_table|Table of DFT pairs and properties]] from [[Collective_Table_of_Formulas|Collective Table of Formulas]]
 
Click [[:Category:discrete Fourier transform|here]] to view all the pages in the [[:Category:discrete Fourier transform|discrete Fourier transform]] category.
 
Click [[:Category:discrete Fourier transform|here]] to view all the pages in the [[:Category:discrete Fourier transform|discrete Fourier transform]] category.

Revision as of 07:12, 23 September 2011

Discrete Fourier Transform

Definition: let x[n] be a discrete-time signal with Period N. Then the Discrete Fourier Transform X[k] of x[n] is the discrete-time signal defined by

$ X [k] = \sum_{k=0}^{N-1} x[n].e^{-J.2pi.kn/N}. $

Conversely, the Inverse Discrete Fourier transform is

$ x [n] = (1/N) \sum_{k=0}^{N-1} X[k].e^{J.2pi.kn/N} $


Some pages discussing or using Discrete Fourier Transform

Click here to view all the pages in the discrete Fourier transform category.

Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn