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Frequency Response



Definition: The frequency response of an LTI filter may be defined as the Fourier transform of its impulse response. In particular, for finite, discrete-time signals $ h\in{\bf C}^N$, the sampled frequency response may be defined as

$\displaystyle H(\omega_k) \isdef \hbox{\sc DFT}_k(h).
$

The complete frequency response is defined using the DTFT (see §E.1), i.e.,

$\displaystyle H(\omega) \isdef \hbox{\sc DTFT}_\omega(\hbox{\sc ZeroPad}_\infty(h)) \isdef \sum_{n=0}^{N-1}h(n) e^{-j\omega n}
$

where we used the fact that $ h(n)$ is zero for $ n<0$ and $ n>N-1$ to truncate the summation limits. Thus, the DTFT can be obtained from the DFT by simply replacing $ \omega_k$ by $ \omega$. Recall from §7.2.7 that this is ideal interpolation of the samples $ H(\omega_k)$ (assuming the DFT spanned all nonzero samples of $ h$).


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

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Copyright © 2003-10-09 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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