(New page: We are given the input to an LTI system along with the system's impulse response and told to find the output y(t). Since the input and impulse response are given, we simply use convolutio...)
 
(Removing all content from page)
 
(One intermediate revision by the same user not shown)
Line 1: Line 1:
We are given the input to an LTI system along with the system's impulse response and told to find the output y(t).  Since the input and impulse response are given, we simply use convolution on x(t) and h(t) to find the system's output.
 
  
 
<math>
 
y(t) = h(t) * x(t) = \int_{-\infty}^\infty x(t)h(t-\tau)d\tau
 
</math>
 
Plugging in functions for x(t) and h(t) we get:
 
<math>
 
= \int_{-\infty}^\infty e^{-\tau}u(\tau)u(t-1-\tau)d\tau
 
</math>
 
We now change the interval of integration to reflect the step function
 
<math>
 
= \int_{0}^\infty e^{-\tau}u(t-1-\tau)d\tau
 
</math>
 
Finally, by changing the interval of integration again we get:
 
<math>
 
\begin{align}
 
&= \int_{0}^{t-1} e^{-\tau}d\tau \\
 
&= -e^{-(t-1)} - (-e^{0}) \\
 
&= 1 - e^{-(t-1)}
 
\end{align}
 
</math>
 

Latest revision as of 22:12, 1 July 2008

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010