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#REDIRECT [[Notes on Discrete Fourier Transform]]
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= Discrete Fourier Transform =
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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
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<math> X [k] = \sum_{k=0}^{N-1} x[n].e^{-J.2pi.kn/N}.</math>
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Conversely, the Inverse Discrete Fourier transform is
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<math> x [n] = (1/N) \sum_{k=0}^{N-1} X[k].e^{J.2pi.kn/N}</math>
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----
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More about the Discrete Fourier Transform
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*[[Student_summary_Discrete_Fourier_transform_ECE438F09|A summary page about the DFT written by a student]]

Revision as of 15:38, 8 October 2010

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} $


More about the Discrete Fourier Transform

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