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Amplitude-Complementary 2-Channel Filter Bank

Perhaps the most natural choice of analysis filters for our two-channel, critically sampled filter bank, is an amplitude-complementary lowpass/highpass pair, i.e.,

$\displaystyle H_1(z) = 1-H_0(z)
$

where we impose the unity dc gain constraint $ H_0(1)=1$ .

Amplitude-complementary thus means constant overlap-add (COLA) on the unit circle in the $ z$ plane.

Plugging the COLA constraint into the Filtering and Aliasing Cancellation constraint ([*]) gives

\begin{eqnarray*}
c &=& H_0(z)[1-H_0(-z)] - [1-H_0(z)]H_0(-z) \\
&=& H_0(z) - H_0(-z) \quad\longleftrightarrow \\
A\delta(n-D) &=& h_0(n) - (-1)^n h_0(n) \\
&=& \left\{\begin{array}{ll}
0, & \hbox{$n$\ even} \\ [5pt]
2h_0(n), & \hbox{$n$\ odd} \\
\end{array} \right.
\end{eqnarray*}

The above class of amplitude-complementary filters can be characterized as follows:

\begin{eqnarray*}
H_0(z) &=& E_0(z^2) + h_0(o) z^{-o}, \quad E_0(1)+h_0(o)=1, \, \hbox{$o$\ odd}\\
H_1(z) &=& 1-H_0(z) = 1 - E_0(z^2) - h_0(o) z^{-o}
\end{eqnarray*}

In summary, we have shown that an amplitude-complementary lowpass/highpass analysis filter pair yields perfect reconstruction (aliasing and filtering cancellation) when there is exactly one odd-indexed term in the impulse response of $ h_0(n)$ .



Problem:

To enable the use of high-quality lowpass and highpass channel filters, we must relax the amplitude-complementary constraint (and/or filtering cancellation and/or aliasing cancellation) and find another approach.


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``Multirate, Polyphase, and Wavelet Filter Banks'', by Julius O. Smith III, Scott Levine, and Harvey Thornburg, (From Lecture Overheads, Music 421).
Copyright © 2020-06-02 by Julius O. Smith III, Scott Levine, and Harvey Thornburg
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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