Exercise 4. Given
the recursion formula
.
4 (a). Calculate
the amplitude response
,
,
, and
.
4 (b). Discuss what
happens to the the filtered signal for the
input
.
Solution 4.
See text and/or instructor's solution manual.
Answer.
,
,
,
,
.
The signal component
is
slightly attenuated by the factor
.
The signal component
is
attenuated quite a bit by the factor
.
Solution 4
(a). Given the
filter
,
the transfer
function (9-27)
is
,
and formula (9-28) for the amplitude
response is
.
Now calculate
,
,
,
.
Solution 4
(b). From the above calculations we expect that
component
of
the signal is slightly attenuated by the
factor ![]()
and the component
attenuated
quite a bit by the factor
.
Hence the filter almost eliminates the signal
component
which
is close to the "zero-out" frequency
.
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_490.gif]](../Images/ZTransformFilterModHome_gr_490.gif)
The
amplitude response
and
zero-pole plot of
,
for
the filter
.
The
lower frequencies are slightly attenuated
and
when
.
The
higher frequencies are amplified and
when
.
We are really really done.
Remark. The
transfer function is
,
and has conjugate zeros at
.
The argument of
is
, and
there is a zero amplitude response at
.
Since
, we
can expect that
.
Since
, we
can expect that
.
Also, the amplitude response increases for values
of
in the interval
.
We are really really really done.
Aside. We can graph the causal input sequence and the corresponding causal output sequence.
![[Graphics:../Images/ZTransformFilterModHome_gr_510.gif]](../Images/ZTransformFilterModHome_gr_510.gif)
The
input signal
and
output signal
.
Here
we have
.
We
can see that the signal component
is
mostly eliminated.
Remark. In Exercise
2 we saw what happens when we change the sign of the
term
.
This solution is complements of the authors.
(c) 2008 John H. Mathews, Russell W. Howell