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The Bilinear Transform

The formula for a general first-order (bilinear) conformal mapping of functions of a complex variable is conveniently expressed by [37, page 75]

$\displaystyle {(\zeta -\zeta _1)(\zeta _2-\zeta _3) \over
(\zeta _2-\zeta _1)(\zeta -\zeta _3)} =
{(z-z_1)(z_2-z_3) \over
(z_2-z_1)(z-z_3)}.
$

It can be seen that choosing three specific points and their images determines the mapping for all $ z$ and $ \zeta $.

Bilinear transformations map circles and lines into circles and lines (lines being viewed as circles passing through the point at infinity). In digital audio, where both domains are ``$ z$ planes,'' we normally want to map the unit circle to itself, with dc mapping to dc ( $ z_1=\zeta _1=1$) and half the sampling rate mapping to half the sampling rate ( $ z_2=\zeta _2=-1$). Making these substitutions in (E.6) leaves us with transformations of the form

$\displaystyle z= {\cal A}_{\rho }(\zeta ) = {\zeta + \rho \over 1 + \zeta \rho } , \qquad
\rho = {\zeta _3 - z_3 \over 1 - z_3\zeta _3}.
$

The constant $ \rho $ provides one remaining degree of freedom which can be used to map any particular frequency $ \omega$ (corresponding to the point $ e^{j\omega }$ on the unit circle) to a new location $ a(\omega )$. All other frequencies will be warped accordingly. The allpass coefficient $ \rho $ can be written in terms of these frequencies as

$\displaystyle \rho = {\sin\{[a(\omega )-\omega ]/2\} \over \sin\{[a(\omega )+\omega ]/2\} },
$

In this form, it is clear that $ \rho $ is real and that the inverse of $ {\cal A}_{\rho }$ is $ {\cal A}_{-\rho }$. Also, since $ 0\leq\{\omega ,a(\omega )\}\leq\pi$, and $ a(\omega )\geq\omega $ for a Bark map, we have $ \rho \in[0,1)$ for a Bark map from the $ z$ plane to the $ \zeta $ plane.


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``Spectral Audio Signal Processing'', by Julius O. Smith III, (March 2007 Draft).
Copyright © 2008-05-20 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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