Digital Signal Processing Reference
In-Depth Information
to 0 - ,| z | will vary from 0 to 1 - . Hence, poles inside the unit circle within region
2 in the z -plane will yield a stable system. The response of such system will be a
decaying exponential if the poles are real or a decaying sinusoid if the poles are
complex.
-•
s>
0
Poles on the right side of the j
axis (region 3) in the s -plane represent an unstable
system, and (4.12) yields a magnitude of | z |
w
>
1, because e s T
>
1. As
s
varies from 0 +
to
. Hence, poles outside the unit circle within region 3
in the z -plane will yield an unstable system. The response of such system will be an
increasing exponential if the poles are real or a growing sinusoid if the poles are
complex.
,| z | will vary from 1 + to
s=
0
Poles on the j
axis (region 1) in the s -plane represent a marginally stable system,
and (4.12) yields a magnitude of | z |
w
1, which corresponds to region 1. Hence, poles
on the unit circle in region 1 in the z -plane will yield a sinusoid. In Chapter 5 we
implement a sinusoidal signal by programming a difference equation with its poles
on the unit circle. Note that from Exercise 4.2 the poles of X ( s )
=
=
sin n
w
T in (4.9)
or X ( s )
=
cos n
w
T in (4.11) are the roots of z 2
-
2 z cos
w
T
+
1, or
2
cos
w
T
±
4
cos
2
w
T
-
4
p
=
12
,
2
=
cos
w
T
±
-
sin
2
w
T
=
cos
w
T
±
j
sin
w
T
(4.13)
The magnitude of each pole is
2
2
pp
==
cos
w
T
+
sin
w
T
=
1
(4.14)
1
2
The phase of z is
q=w
T
=
2
p
f / F s . As the frequency f varies from zero to
±
F s /2, the
phase
q
will vary from 0 to
p
.
4.1.2 Difference Equations
A digital filter is represented by a difference equation in a similar fashion as an
analog filter is represented by a differential equation. To solve a difference equa-
tion, we need to find the z -transform of expressions such as x ( n
k ), which corre-
sponds to the k th derivative d k x ( t )/ dt k of an analog signal x ( t ). The order of the
difference equation is determined by the largest value of k . For example, k
-
=
2
represents a second-order derivative. From (4.5)
 0
() =
()
() +
()
()
Xz
xnz
-
n
=
x
0
x
1
z
-
1
+
x
2
z
-
2
+◊◊◊
(4.15)
n
=
Then the z -transform of x ( n
-
1), which corresponds to a first-order derivative dx / dt ,
is
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