Orthogonal Two-Channel Filter Banks
Recall the reconstruction equation for the two-channel, critically sampled, perfect-reconstruction filter-bank:
![\begin{eqnarray*}
\hat{X}(z) &=& \frac{1}{2}[H_0(z)F_0(z) + H_1(z)F_1(z)]X(z)
\nonumber\\ [5pt]
&+& \frac{1}{2}[H_0(-z)F_0(z) + H_1(-z)F_1(z)]X(-z)
\end{eqnarray*}](http://www.dsprelated.com/josimages_new/sasp2/img2089.png)
This can be written in matrix form as
![]() |
(12.47) |
where the above


![]() |
(12.48) |
where


It turns out orthogonal filter banks give perfect reconstruction filter banks for any number of channels. Orthogonal filter banks are also called paraunitary filter banks, which we'll study in polyphase form in §11.5 below. The AC matrix is paraunitary if and only if the polyphase matrix (defined in the next section) is paraunitary [287].
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Simple Examples of Perfect Reconstruction
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Conjugate Quadrature Filters (CQF)