518 C H A P T E R 9: The Z-Transform
nExample 9.3
Find the Z-transform of a discrete-time pulse
x[n]=
{
1 0≤n≤ 9
0 otherwise
Determine the region of convergence ofX(z).
Solution
The Z-transform ofx[n] is
X(z)=
∑^9
n= 0
1 z−n=
1 −z−^10
1 −z−^1
=
z^10 − 1
z^9 (z− 1 )
(9.8)
That this sum equals the term on the right can be shown by multiplying the left term by the
denominator 1−z−^1 and verifying the result is the same as the numerator in negative powers of
z. In fact,
( 1 −z−^1 )
∑^9
n= 0
1 z−n=
∑^9
n= 0
1 z−n−
∑^9
n= 0
1 z−n−^1
=( 1 +z−^1 +···+z−^9 )−(z−^1 +···+z−^9 +z−^10 )= 1 −z−^10
Sincex[n] is a finite sequence there is no problem with the convergence of the sum, althoughX(z)
in Equation (9.8) seems to indicate the need forz6=1 (z=1 makes the numerator and denom-
inator zero). From the sum, if we letz=1, thenX( 1 )=10, so there is no need to restrictzto be
different from 1. This is caused by the pole atz=1 being canceled by a zero. Indeed, the zeroszk
ofX(z)(see Eq. 9.8) are the roots ofz^10 − 1 =0, which arezk=ej^2 πk/^10 fork=0,..., 9. Therefore,
the zero whenk=0, orz 0 =1, cancels the pole at 1 so that
X(z)=
∏ 9
k= 1 (z−e
jπk/ (^5) )
z^9
That is,X(z)has nine poles at the origin and nine zeros around the unit circle except atz=1. Thus,
the wholez-plane excluding the origin is the region of convergence ofX(z). n
ROC of Infinite-Support Signals
Signals of infinite support are either causal, anti-causal, or a combination of these or noncausal. Now
for the Z-transform of a causal signalxc[n] (i.e.,xc[n]=0,n<0)
Xc(z)=
∑∞
n= 0
xc[n]z−n=
∑∞
n= 0
xc[n]r−ne−jnω
to converge we need to determine appropriate values ofr, the damping factor. The frequencyω
has no effect on the convergence. IfR 1 is the radius of the farthest-out pole ofXc(z), then there is