Digital Signal Processing Reference
In-Depth Information
The two integrals simplify as follows:
−τ ] t 0
t );
integral I = (1 t )[ e
= (1 t )(1 e
−τ
−τ ] t 0
t
t .
integral II = [ −τ e
e
= 1 e
t e
For 0 t
1, the output y ( t )isgivenby
t
t ) + (1 e
t
t ) = (2 t 2e
t ) .
y ( t ) = (1 t e
+ t e
t e
Case 3 For t > 1, we see from Fig. 3.8(g) that the non-zero part of h ( t − τ )
completely overlaps x ( τ ) over the region τ = [ t 1 , t ]. The lower limit of
the overlapping region in case 3 is different from the lower limit of the over-
lapping region in case 2; therefore, case 3 results in a different convolution
integral and is considered separately from case 2. The output y ( t ) for case 3 is
given by
t
t
−τ (1 t + τ )d τ
y ( t ) =
x ( τ ) h ( t − τ )d τ
=
e
0
t 1
t
t
−τ d τ
−τ d τ
= (1 t )
e
+
τ e
.
t 1
t 1
integral I
integral II
The two integrals simplify as follows:
−τ ] t 1
( t 1) e
t );
integral I = (1 t )[ e
= (1 t )(e
−τ
−τ ] t 1
( t 1) + e
( t 1) t e
t e
t
integral II = [ −τ e
e
= ( t 1)e
( t 1) t e
t e
t .
= t e
For t > 1, the output y ( t )isgivenby
( t 1) t e
( t 1) e
t
1
( t 1) t e
t
t
y ( t ) =
e
+ t e
+
t e
e
( t 1) 2e
t
=
e
.
Combining the above three cases, we obtain
0
t < 0
y ( t ) =
t )
(2 t 2e
0 t
1
( t 1) 2e
t )
(e
t > 1 ,
which is plotted in Fig. 3.9.
Example 3.9
Calculate the output for the following input signal and impulse response:
1 . 5
2 t
3
2
1 t
2
x ( t ) =
and
h ( t ) =
0
otherwise
0
otherwise.
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