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We have so far seen two types of allpass filters:
- The series combination of feedback and feedforward
comb-filters is allpass when their delay lines are the same
length and their feedback and feedforward coefficents are the same.
An example is shown in Fig. 1.24.
- Any delay element in an allpass filter can be replaced by an
allpass filter to obtain a new (typically higher order)
allpass filter. The special case of nested first-order allpass
filters yielded the lattice digital filter structure of
Fig. 1.26.
We now discuss allpass filters more generally in the SISO case. (See
Appendix D of [426] for the MIMO case.)
Definition:
A linear, time-invariant filter is said to be
lossless if it preserves signal
energy for every input signal. That is, if the input signal is
, and the output signal is
, we must have
In terms of the signal norm
, this can be
expressed more succinctly as
Notice that only stable filters can be lossless since, otherwise,
is generally infinite, even when
is finite. We
further assume all filters are causal2.9 for
simplicity. It is straightforward to show the following:
It can be shown [426, Appendix D] that stable, linear,
time-invariant (LTI) filter transfer function is lossless if
and only if
That is, the frequency response must have magnitude 1 everywhere over
the unit circle in the complex plane.
Thus, ``lossless'' and ``unity-gain allpass'' are synonymous. For an
allpass filter with gain at each frequency, the energy gain of the
filter is for every input signal . Since we can describe
such a filter as an allpass times a constant gain, the term
``allpass'' will refer here to the case .
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