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Some pages discussing or using Discrete Fourier Transform | Some pages discussing or using Discrete Fourier Transform | ||
− | *[[Student_summary_Discrete_Fourier_transform_ECE438F09|A summary page about the DFT written by a student]] | + | *[[Student_summary_Discrete_Fourier_transform_ECE438F09|A summary page about the DFT written by a student]] from [[ECE438]] |
− | + | *[[Practice_question_1_eECE439F10|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]] | ||
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 06:58, 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
- A summary page about the DFT written by a student from ECE438
- Practice Question on DFT computation from ECE438
- Practice Question on DFT computation from ECE438
- Practice Question on DFT computation from ECE438
Click here to view all the pages in the discrete Fourier transform category.