Digital Signal Processing Reference
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or
m =−∞ x 1 [ m ] z
p =−∞ x 2 [ p ] z
←→
m
p ,
x 1 [ k ] x 2 [ k ]
which proves Eq. (13.24).
Like the DTFT convolution property discussed in Chapter 11, the time-
convolution property of the z-transform provides us with an alternative approach
to calculate the output y [ k ] when a DT sequence x [ k ] is applied at the input of
an LTID system with the impulse response h [ k ]. The procedure for calculating
the output y [ k ] of an LTID system in the complex z-domain consists of the
following four steps.
(1) Calculate the z-transform X ( z ) of the input sequence x [ k ]. If the input
sequence and the impulse response are both causal functions, then the
unilateral z-transform is used. If either of the two functions is non-causal,
the bilateral z-transform must be used.
(2) Calculate the z-transform H ( z ) of the impulse response h [ k ] of the LTID
system. The z-transform H ( z ) is referred to as the z-transfer function of
the LTID system and provides a meaningful insight into the behavior of the
system.
(3) Based on the convolution property, the z-transform Y ( z ) of the resulting
output y [ k ] is given by the product of the z-transforms of the input signal
and the impulse response of the LTID system. Mathematically, this implies
that Y ( z ) = X ( z ) H ( z ).
(4) Calculate the output response y [ k ] in the time domain by taking the inverse
z-transform of Y ( z ) obtained in step (3).
Example 13.9
The exponential decaying sequence x [ k ] = a k u [ k ] , 0 a 1, is applied at the
input of an LTID system with the impulse response h [ k ] = b k u [ k ], 0 b 1.
Using the z-transform approach, calculate the output of the system.
Solution
Based on Table 13.1, the z-transforms for the input sequence and the impulse
response are given by
1
1 az 1
1
1 bz 1 .
X ( z ) =
and
H ( z ) =
The z-transform of the output signal is, therefore, calculated as follows:
1
Y ( z ) =
H ( z ) X ( z ) =
1 ) .
(1 az
1 )(1 bz
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