z is a complex variable of the transform domain and can be considered as the complex frequency. Remember index n can be time or space or some other thing, but is usually taken as time. As defined above ,
is an integer power series of
with corresponding
as coefficients. Let’s expand
:
(4.2)
In general one writes
(4.3)
In Eq.(4.1) the summation is taken from
to
, ie ,
is not at all related to the past history of
. This is one–sided or unilateral z-transform . Sometime the one–sided z-transform has to take into account the initial conditions of
(see section 4.7).
In general , signals exist at all time , and the two-sided or bilateral z–transform is defined as
(4.4)
Because
is an infinite power series of
, the transform only exists at values where the series converges (i.e. goes to zero as
or -
). Thus the z-transform is accompanied with its region of convergence (ROC) where it is finite (see section 4.4).
A number of authors denote
for one-side z-transform.
Example 4.1.1
Find the z–transform of the two signals of Fig.4.1
Solution
(a) Notice the signal is causal and monotically decreasing and its value is just
for
. So we write
and use the transform
Applying the formula of infinite geometric series which is repeated here
(4.5)
to obtain
The result can be left in either of the two forms .
(b) The signal is alternatively positive and negative with increasing value .The signal is divergent . We can put the signal in the form
which is
delayed one index(sample) . Let’s use the transform
The inverse z-transform is denoted by
:
(4.6)
The signal
and its transform constitutes a transform pair
(4.7)
One way to find the inverse transform , whenever possible , is to utilize just the z-transform definition. General methods of the inverse z-transform are discursed in section 4.5 and 4.6
Example 4.1.2
Find the inverse z-transform of the following
-
-
Solution
(a) Let’s write
By comparing term by term with Equation
we get
or
(b) Let’s write
Next , let’s expand
:
Thus
or
That is