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DFT  
 
DFT  
<math>X(k) = \sum{x(n)exp(-j2pikn/N) dn }^N-1_n=0 k = 0, 1, 2, ..., N-1</math>
+
<math>X(k) = \sum_{n=0}^{N-1}{x(n)e^{-j2pikn/N}} k = 0, 1, 2, ..., N-1</math>
  
 
Inverse DFT (IDFT)  
 
Inverse DFT (IDFT)  
<math>x[n] = (1/N)\sum^N-1_k=0{X(k)exp(j2pikn/N) dk } n = 0, 1, 2, ..., N-1</math>
+
<math>x[n] = \frac{1/N}\sum_{k=0}^{N-1}{X(k)e^{j2pikn/N}} n = 0, 1, 2, ..., N-1</math>
 +
[[ECE438_(BoutinFall2009)|Back to ECE438 course page]]

Revision as of 16:36, 18 September 2009


DFT ( Discrete Fourier Transform )

Definition

DFT $ X(k) = \sum_{n=0}^{N-1}{x(n)e^{-j2pikn/N}} k = 0, 1, 2, ..., N-1 $

Inverse DFT (IDFT) $ x[n] = \frac{1/N}\sum_{k=0}^{N-1}{X(k)e^{j2pikn/N}} n = 0, 1, 2, ..., N-1 $ Back to ECE438 course page

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett