Digital Signal Processing Reference
In-Depth Information
Fig. 3.9. Output y ( t ) computed
in Example 3.8.
0.4
0.3
0.2
0.1
t
0
−1
0
1
2
3
4
5
6
7
8
9
−2
Solution
Functions x ( τ ), h ( τ ), h ( −τ ), and h ( t − τ ) are plotted in Figs. 3.10(a)-(d).
Depending on the value of t , the convolution integral takes five different forms.
We consider these five cases below.
Case 1 ( t < − 3). As seen in Fig. 3.10(e), the non-zero parts of h ( t − τ ) and
x ( τ ) do not overlap. Therefore, the output signal y ( t ) = 0.
Case 2 ( 3 t 0). As seen in Fig. 3.10(f), the non-zero part of h ( t − τ )
partially overlaps with x ( τ ) within the region τ = [ 2 , t + 1]. The product
x ( τ ) h ( t − τ ) becomes a rectangular function in the region with an amplitude
of 1 . 5 2 = 3. Therefore, the output for 3 t
0isgivenby
t + 1
y ( t ) =
3d τ
= 3( t + 3) .
2
Case 3 (0 t 2). As seen in Fig. 3.10(g), the non-zero part of h ( t − τ )
overlaps completely with x ( τ ). The overlapping region is given by τ =
[ t 2 , t + 1]. The product x ( τ ) h ( t − τ ) is a rectangular function with an ampli-
tude of 3 in the region τ
= [ t 2 , t + 1]. The output for 0 t
2 is given by
t + 1
y ( t ) =
3d τ
= 9 .
t 2
Case 4 (2 t 5). The non-zero part of h ( t − τ ) overlaps partially with x ( τ )
within the region τ
= [ t 2 , 3]. Therefore, the output for 2 t
5isgiven
by
3
y ( t ) =
3d τ
= 3(5 t ) .
t 2
Case 5 ( t 0). We see from Fig. 3.10(i) that the non-zero parts of h ( t − τ )
and x ( τ ) do not overlap. Therefore, the output y ( t ) = 0.
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