continuous-time convolution. 4 - 2 impulse response impulse response of a system is response of the...
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![Page 1: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/1.jpg)
Continuous-Time Convolution
![Page 2: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/2.jpg)
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Impulse Response• Impulse response of a system is response of the
system to an input that is a unit impulse (i.e., a Dirac delta functional in continuous time)
• When initial conditions are zero, this differential equation is LTI and system has impulse response
![Page 3: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/3.jpg)
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0
rect
lim rect
n
n
t nx t x n
t nx t x n x t d
t
x(t)
t=n
( )x t x t d x h t d Y t
System Response• Signals as sum of impulses
• But we know how to calculate the impulse response ( h(t) ) of a system expressed as a differential equation
• Therefore, we know how to calculate the system output for any input, x(t)
![Page 4: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/4.jpg)
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Graphical Convolution Methods• From the convolution integral, convolution is
equivalent to
– Rotating one of the functions about the y axis
– Shifting it by t
– Multiplying this flipped, shifted function with the other function
– Calculating the area under this product
– Assigning this value to f1(t) * f2(t) at t
dtfftftf
2121
![Page 5: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/5.jpg)
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3
2
f()2
-2 + t 2 + t
g(t-)
*
2
2
t
f(t)
-2 2
3
t
g(t)
Graphical Convolution Example• Convolve the following two functions:
• Replace t with in f(t) and g(t) • Choose to flip and slide g() since it is simpler
and symmetric• Functions overlap like this:
t
![Page 6: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/6.jpg)
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62
326
2
232
23)2(3
222
0
22
0
t
tt
d
tt
3
2
f()2
-2 + t 2 + t
g(t-)
3
2
f()2
-2 + t 2 + t
g(t-)
Graphical Convolution Example• Convolution can be divided into 5 parts
I. t < -2• Two functions do not overlap
• Area under the product of thefunctions is zero
II. -2 t < 0• Part of g(t) overlaps part of f(t)
• Area under the product of thefunctions is
![Page 7: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/7.jpg)
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Graphical Convolution Example
III. 0 t < 2• Here, g(t) completely overlaps f(t)
• Area under the product is just
IV. 2 t < 4• Part of g(t) and f(t) overlap
• Calculated similarly to -2 t < 0
V. t 4• g(t) and f(t) do not overlap
• Area under their product is zero
6 22
3 23
2
0
22
0
d
3
2
f()2
-2 + t 2 + t
g(t-)
3
2
f()2
-2 + t 2 + t
g(t-)
![Page 8: Continuous-Time Convolution. 4 - 2 Impulse Response Impulse response of a system is response of the system to an input that is a unit impulse (i.e., a](https://reader031.vdocument.in/reader031/viewer/2022013105/56649f165503460f94c2c6cb/html5/thumbnails/8.jpg)
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Graphical Convolution Example• Result of convolution (5 intervals of interest):
4for 0
42for 24 122
320for 6
02for 62
32for 0
)(*)()(
2
2
t
ttt
t
tt
t
tgtfty
t
y(t)
0 2 4-2
6