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Zero Padding Theorem (Spectral Interpolation)

A fundamental tool in practical spectrum analysis is zero padding. This theorem shows that zero padding in the time domain corresponds to ideal interpolation in the frequency domain (for truly time-limited signals):



Theorem: For any $ x\in{\bf C}^N$

$\displaystyle \zbox {\mbox{\sc ZeroPad}_{LN}(x) \leftrightarrow \mbox{\sc Interp}_L(X)}
$

where ZEROPAD$ ()$ was defined in Eq. (7.3), followed by the definition of INTERP$ ()$.



Proof: Let $ M=LN$ with $ L\geq 1$. Then

\begin{eqnarray*}
\mbox{\sc DFT}_{M,k^\prime }(\mbox{\sc ZeroPad}_M(x))
&=& \su...
...ef & X(\omega_{k^\prime }) = \mbox{\sc Interp}_{L,k^\prime }(X).
\end{eqnarray*}

Thus, this theorem follows directly from the definition of the ideal interpolation operator INTERP$ ()$. See §8.1.3 for an example of zero-padding in spectrum analysis.


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``Mathematics of the Discrete Fourier Transform (DFT), with Music and Audio Applications'', by Julius O. Smith III, W3K Publishing, 2003, ISBN 0-9745607-0-7.

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