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This module will drop the restrictive QMF conditions and focus on using FIR filters to achieve perfect reconstruction from filterbanks.

Fir perfect-reconstruction conditions

The QMF design choices prevented the design of a useful( i.e. , frequency selective) perfect-reconstruction (PR) FIR filterbank. This motivates usto re-examine PR filterbank design without the overly-restrictive QMF conditions. However, we will stillrequire causal FIR filters with real coefficients.

Recalling that the two-channel filterbank ( ),

has the input/output relation:
Y z 1 2 X z X -z H 0 z H 1 z H 0 z H 1 z G 0 z G 1 z
we see that the delay- l perfect reconstruction requires
2 z l 0 H 0 z H 1 z H 0 z H 1 z G 0 z G 1 z
where H z H 0 z H 1 z H 0 z H 1 z or, equivalently, that
G 0 z G 1 z H z -1 2 z l 0 1 H z H 1 z H 1 z H 0 z H 0 z 2 z l 0 2 H z z l H 1 z z l H 0 z
where
H z H 0 z H 1 z H 0 z H 1 z
For FIR G 0 z and G 1 z , we require
Since we cannot assume that FIR H 0 z and H 1 z share a common root.
that
H z c z k
for c and k . Under this determinant condition, we find that
G 0 z G 1 z 2 z l k c H 1 z H 0 z
Assuming that H 0 z and H 1 z are causal with non-zero initial coefficient, we choose k l to keep G 0 z and G 1 z causal and free of unnecessary delay.

Summary of two-channel fir-pr conditions

Summarizing the two-channel FIR-PR conditions: H 0 z H 1 z  causal real-coefficient FIR c c l H z c z l G 0 z 2 c H 1 z G 1 z -2 c H 0 z

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Source:  OpenStax, Digital signal processing (ohio state ee700). OpenStax CNX. Jan 22, 2004 Download for free at http://cnx.org/content/col10144/1.8
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