Exercises for Section 9.3. Exercises for the Z-Transform Digital Signal Filters
Exercise 1. Use direct substitution and trigonometric identities to show the following:
1 (a).
will
"zero-out"
and
.
1 (b).
will
"zero-out"
and
.
1 (c).
will
"zero-out"
and
.
Hint. This is similar to Example 9.21 (a).
1 (d).
will
"zero-out"
and
.
1 (e).
will
"zero-out"
and
.
Exercise 2. Given
the recursion formula
.
2 (a). Calculate
the amplitude response
,
,
, and
.
2 (b). Discuss what
happens to the the filtered signal for the
input
.
Exercise 3. Given
the recursion formula
.
3 (a). Calculate
the amplitude response
,
,
, and
.
3 (b). Discuss what
happens to the the filtered signal for the
input
.
Hint. This is similar to Examples 9.21 (b) and 9.21 (c).
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
.
Exercise 5. Given
the recursion formula
.
5 (a). Calculate
the amplitude response
,
,
, and
.
5 (b). Discuss what
happens to the the filtered signal for the
input
.
Exercise 6. Given
the recursion formula
.
6 (a). Calculate
the amplitude response
,
,
, and
.
6 (b). Discuss what
happens to the filtered signal for the
input
.
Hint. This is similar to Example 9.22.
Exercise 7. The
single-pole low-pass filter is
, where
constant K is between
.
7
(a). Use
and
find
,
,
,
, and
.
7
(b). Use
and find
,
,
,
, and
.
7
(c). Use
and find
,
,
,
, and
.
Exercise 8. Use the
recursion formula
in
Exercise 7 (a).
8 (a). Start
with
,
, and
show by induction that
.
8 (b). Use the
transfer function
and
find the unit-sample response
.
8 (c). Verify that
the general term in part (a) is given by the convolution
formula
.
Exercise 9. Show
that the moving average filter
is designed to "zero out"
.
Hint. This is similar to Example 9.23 (b).
Exercise 10. Use
the transfer function
and
show that the moving average filter in Exercise 9
has an alternative formula
.
Exercise 11. Use
the transfer function
and
show that the moving average filter in Example
9.24
has an alternative formula
.
Exercise 12
(a). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 12
(b). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 13
(a). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 13
(b). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 14
(a). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 14
(b). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 15
(a). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 15
(b). Construct a filter using the
zeros
. What
signals are "zeroed out" ?
Exercise 16
(a). Construct a filter using the zeros
for
attenuating signals near
.
Exercise 16
(b). Construct a filter using the
poles
for
boosting up signals near
and
and
low frequency signals.
Hint. This is similar to Example 9.25 (b).
Exercise 16
(c). Construct the combination filter using the
zeros
and poles
for attenuating high frequencies, and boosting up low frequencies.
Hint. This is an modification of the filter in Example 9.26.
Exercise 17
(a). Construct a filter using the
zeros
for
"zeroing out"
,
, and
.
Exercise 17
(b). Construct a filter using the
poles
for
boosting up signals near
and
and
low frequency signals.
Hint. This is similar to Example 9.25 (b).
Exercise 17 (c). Construct a filter using the zeros and poles in part (a) and (b).
Exercise 18
(a). Construct a filter using the
zeros
for
"zeroing out"
,
, and
.
Exercise 18
(b). Construct a filter using the
poles
for
boosting up signals near
and
.
Exercise 18 (c). Construct a filter using the zeros and poles in part (a) and (b).
(c) 20098 John H. Mathews, Russell W. Howell