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Dyadic Filter Banks

Figure 10.35: Frequency response magnitudes for a dyadic filter bank (amplitude scalings optional).
\includegraphics[width=\twidth]{eps/dyadicFilters}

A dyadic filter bank is any octave filter bank,11.5 as illustrated qualitatively in Figure 10.35. Note that $ H_0(\omega )$ is the top-octave bandpass filter, $ H_1(w) = \sqrt{2}
H_0(2\omega )$ is the bandpass filter for next octave down, $ H_2(w) =
2H_0(4\omega )$ is the octave bandpass below that, and so on. The optional scale factors result in the same sum-of-squares for each channel-filter impulse response.

A dyadic filter bank may be derived from the discrete wavelet filter bank by setting $ a=2$ and relaxing the exact orthonormality requirement on the channel-filter impulse responses. If they do happen to be orthonormal, we may call it a dyadic wavelet filter bank.

For a dyadic filter bank, the center-frequency of the $ k$th channel-filter impulse response can be defined as

$\displaystyle \omega _c(k) \eqsp \sqrt{\omega _0(\omega _0+\hbox{bandwidth})} \eqsp \sqrt{2}\omega _0
$

so that

$\displaystyle Q \eqsp \frac{\sqrt{2}\omega _0}{2\omega _0 - \omega _0} \eqsp \sqrt{2}.
$

Thus, a dyadic filter bank is a special case of a constant-Q filter bank for which the $ Q$ is $ \sqrt{2}$.


Previous: Discrete Wavelet Filterbank
Next: Dyadic Filter Bank Design

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About the Author: Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at Stanford's Center for Computer Research in Music and Acoustics (CCRMA), teaching courses and pursuing research related to signal processing applied to music and audio systems. See http://ccrma.stanford.edu/~jos/ for details.


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