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'''Definition'''
 
  
DFT
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== Definition ==
<math>X(k) = \sum_{n=0}^{N-1}{x[n]e^{-j2{\pi}kn/N}} k = 0, 1, 2, ..., N-1</math>
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Inverse DFT (IDFT)  
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<math>x[n] = \sum_{k=0}^{N-1}{X(k)e^{j2{\pi}kn/N}} n = 0, 1, 2, ..., N-1</math>
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'''DFT'''
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*<math>X(k) = \sum_{n=0}^{N-1}{x[n]e^{-j2{\pi}kn/N}} k = 0, 1, 2, ..., N-1</math>
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'''Inverse DFT (IDFT)'''
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*<math>x[n] = \frac{1}{N}\sum_{k=0}^{N-1}{X(k)e^{j2{\pi}kn/N}} n = 0, 1, 2, ..., N-1</math>
 
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[[ECE438_(BoutinFall2009)|Back to ECE438 course page]]

Revision as of 16:57, 18 September 2009


DFT ( Discrete Fourier Transform )

Definition

DFT

  • $ X(k) = \sum_{n=0}^{N-1}{x[n]e^{-j2{\pi}kn/N}} k = 0, 1, 2, ..., N-1 $

Inverse DFT (IDFT)

  • $ x[n] = \frac{1}{N}\sum_{k=0}^{N-1}{X(k)e^{j2{\pi}kn/N}} n = 0, 1, 2, ..., N-1 $

Back to ECE438 course page

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva