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VE216 Lecture 18

DT Fourier Representations

FFT

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This is actually 64 multiplications.

So we can generate the FFT calculation method.

FFT - Even numbered and Odd numbered Part

Even numbered Odd Numbered
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Total 32 multiplications.

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Fourier Transform: Aperiodic Signals

$x[n] \to$ aperiodic DT signal.

Then we have the periodic extension: $\begin{align}x_N[n] = \sum^ \infty_{k=-\infty}x[n+kN]\end{align}$

So $x[n] = \lim_{N\to\infty} x_N[n]$

  • Analysis Equation: $\begin{align} X(e^{j\Omega}) = \sum^\infty_{n=-\infty} x[n] e^{-j\Omega n} = H(z)_{z=e^{j\Omega}} \end{align}$ with $H(z) = \sum x[n]z^{-n}$
  • Synthesis Equation: $\begin{align} x[n] = \frac 1 {2\pi} \int_{2\pi}X(e^{j\Omega})e^{j\Omega n} d\Omega \end{align}$

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