Exercise 14
(b). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Solution 14 (b).
See text and/or instructor's solution manual.
Answer. Compute
the product
.
The desired filter is
.
Solution. Use
the zeros in part (a) and the additional conjugate pair of
zeros
,
and the "zero
out factors"
,
and
.
Then calculate
Now use the
General
Filter Equation (9-29) and
the corresponding Transfer
Function (9-34) in the
case
.
Get the new fact that the transfer function
,
corresponds to the filter
.
For this exercise, we
use
and
in
these equations to get the desired recursive formula
.
Therefore, the desired filter for (b) is
.
for "zeroing out" the signals
.
We are done.
Aside. We can let Mathematica double check our work.
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Aside. The Maple commands are similar
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We are really done.
Aside. We can graph
the amplitude response for the filter
.
![[Graphics:../Images/ZTransformFilterModHome_gr_1543.gif]](../Images/ZTransformFilterModHome_gr_1543.gif)
Amplitude
response
and
zero-pole plot of
,
for
the filter
.
We are really really done.
Aside. Let us
investigate how well the filter works to eliminate
signals
which are close to the "zero-out" frequencies.
For illustration
purposes we will explore the casual input
signal
.
The signal component
will
be amplified by the factor
.
The signal component
will
be attenuated by the factor
, and
The signal component
will
be attenuated by the factor
, and
The signal component
will
be attenuated by the factor
.
![[Graphics:../Images/ZTransformFilterModHome_gr_1568.gif]](../Images/ZTransformFilterModHome_gr_1568.gif)
The
causal input sequence
and
the corresponding causal output sequence.
Since
we have
and
,
this
filter reduces the proportion of the signal
component
by
a factor of
.
Since
we have
and
,
this
filter reduces the proportion of the signal
component
by
a factor of
.
Since
we have
and
,
this
filter reduces the proportion of the signal
component
by
a factor of
.
This solution is complements of the authors.
(c) 20098 John H. Mathews, Russell W. Howell