Digital Signal Processing Reference
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Solving these two equations, we get A 1 = 9 . 903 and A 2 =− 8 . 4. So the total
response is
= 9 . 903 ( 0 . 3 ) n
8 . 4 ( 0 . 2 ) n
( 0 . 1 ) n
y(n)
+
Example 2.13
Let us reconsider Example 2.10. The zero input response and the zero state
response in this example were found to be
[0 . 376 ( 0 . 2 ) n
0 . 088 ( 0 . 1 ) n ] u(n)
y 0 i (n)
=
0 . 2 ) n
( 0 . 2 ) n ] u(n)
= [0 . 5 ( 0 . 2 ) n
0 . 2 ) n ] u(n)
y 0 s (n)
= 0 . 5[
(
+
0 . 5 (
The characteristic polynomial for the system given in Example 2.10 is easily
seen as [1
0 . 02 z 2 ]. After multiplying it by z 2 ,wefindthenatu-
ral frequencies as the zeros of [ z 2
0 . 3 z 1
+
0 . 3 z
+
0 . 02]
=
[ (z
0 . 2 )(z
0 . 1 ) ]tobe
(c 1 )
( 0 . 1 ) . Note that the zero input response y 0 i (n) has a
term 0 . 376 ( 0 . 2 ) n u(n) , which has the natural frequency equal to ( 0 . 2 ) and the
term
=
( 0 . 2 ) and (c 2 )
=
0 . 088 ( 0 . 1 ) n u(n) with the natural frequency of ( 0 . 1 ) , while the zero state
response y 0 s (n) also contains the term 0 . 5 ( 0 . 2 ) n u(n) with the natural frequency
of ( 0 . 2 ) . We also noticed that the pole of Y 0 s (z) at z
= 0 . 1 was canceled by a zero
at z
= 0 . 1. Therefore there is no term in the zero state response y 0 s (n) with the
natural frequency of ( 0 . 1 ) . So the term containing the natural frequency of ( 0 . 2 ) is
the sum 0 . 5 ( 0 . 2 ) n u(n)
= 0 . 876 ( 0 . 2 ) n u(n) , whereas the other
term with the natural frequency of ( 0 . 1 ) is 0 . 088 ( 0 . 1 ) n u(n) . Consequently, the
natural response of the system is 0 . 876 ( 0 . 2 ) n u(n)
+ 0 . 376 ( 0 . 2 ) n u(n)
0 . 088 ( 0 . 1 ) n u(n) .
0 . 2 ) n u(n) is the forced response with the fre-
The remaining term 0 . 5 (
quency (
0 . 2 ) , which is found in the forcing function or the input function
0 . 2 ) n u(n) . Thus the total response of the system is now expressed as
the sum of its natural response 0 . 876 ( 0 . 2 ) n u(n)
x(n)
=
(
0 . 088 ( 0 . 1 ) n u(n) and forced
0 . 2 ) n u(n) . We repeat that in the zero state response, there are
terms with natural frequencies of the system, besides terms with input frequen-
cies; hence it is erroneous to state that the zero input response is equal to the
natural response or that the zero state response is the forced response.
0 . 5 (
response
Example 2.14
As another example, let us analyze the discrete-time system model shown in
Figure 2.6. Assuming the initial states are zero, we get the equations for the
outputs of the two adders as
y 1 (n)
=
x(n
1 )
0 . 2 y 1 (n
1 )
0 . 4 y 1 (n
2 )
y 2 (n)
= 2 y 1 (n
1 )
0 . 1 y 2 (n
1 )
When a discrete-time system is described by several linear difference equations
like the equations above, it is difficult to derive a single-input, single-output
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