Exercise 12
(a). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Solution 12 (a).
See text and/or instructor's solution manual.
Answer. Compute
the product
.
The desired filter is
.
Solution. Use
the conjugate pairs of zeros
and
,
and the "zero
out factors"
and
.
Then calculate
![[Graphics:../Images/ZTransformFilterModHome_gr_1108.gif]](../Images/ZTransformFilterModHome_gr_1108.gif)
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 (a) is
.
for "zeroing out" the signals
.
We are done.
Aside. We can let Mathematica double check our work.
Aside. The Maple
commands are similar
We are really done.
Aside. We can graph
the amplitude response for the filter
.
![[Graphics:../Images/ZTransformFilterModHome_gr_1133.gif]](../Images/ZTransformFilterModHome_gr_1133.gif)
Amplitude
response
and
zero-pole plot of
,
for
the filter
.
We
can see that the mid-range frequencies are slightly attenuated,
and
for
.
Remark. In Exercise
14 (a) we will see what happens when we change the sign of the
term
.
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
.
![[Graphics:../Images/ZTransformFilterModHome_gr_1157.gif]](../Images/ZTransformFilterModHome_gr_1157.gif)
The
causal input sequence
and
the corresponding causal output sequence.
We
can see that the filter practically eliminates the
signals
which are close to the "zero-out" frequencies.
This solution is complements of the authors.
(c) 20098 John H. Mathews, Russell W. Howell