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I have two convolution problems, that I would like to be sure are right. If someone wouldn't mind the fun job of checking these, that would be great.
QUESTION:
Compute the convolution of x(t) and h(t) where:
1:
x(t) = u(t)
h(t) = e^{-at}u(t), \,\,\, a>0
2.
x(t) = u(t) - u(t-T_1)
h(t) = u(t) - u(t-T_2), \,\,\, T_1 > T_2
"ANSWER":
Let y(t) be the convolution of x(t), h(t)
(1):
t < 0:
y(t) =0
t \geq 0:
y(t) = \int_{-\infty}^t e^{-a(t-\tau)}d\tau = \frac{1}{a}
(2):
t < 0 or t-T_2 > 0:
y(t) =0
t \geq 0 and t-T_2 < 0:
y(t) = \int_0^t d\tau = t
t-T_2 > 0 and t<T_1:
y(t) = \int_{t-T_2}^t d\tau = T_2
If I need to show more steps, please let me know. Thanks!
QUESTION:
Compute the convolution of x(t) and h(t) where:
1:
x(t) = u(t)
h(t) = e^{-at}u(t), \,\,\, a>0
2.
x(t) = u(t) - u(t-T_1)
h(t) = u(t) - u(t-T_2), \,\,\, T_1 > T_2
"ANSWER":
Let y(t) be the convolution of x(t), h(t)
(1):
t < 0:
y(t) =0
t \geq 0:
y(t) = \int_{-\infty}^t e^{-a(t-\tau)}d\tau = \frac{1}{a}
(2):
t < 0 or t-T_2 > 0:
y(t) =0
t \geq 0 and t-T_2 < 0:
y(t) = \int_0^t d\tau = t
t-T_2 > 0 and t<T_1:
y(t) = \int_{t-T_2}^t d\tau = T_2
If I need to show more steps, please let me know. Thanks!