Solve Convolution Problem: Find y(t) Given h(t) and f(t)

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In summary, the conversation discusses using the unit impulse response of an LTIC system to find the system's zero-state response given a specific input. The shifting property is used to solve the problem, with the hint of using t = (t-3)+3 in the exponential in f(t). The solution for the more challenging problem is -e^{t}u(-t).
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Homework Statement



The unit impulse response of an LTIC system is h(t) = [itex]e^{-t}u(t)[/itex]. Find the system's (zero-state) response y(t) if the input f(t) is [itex]e^{-2t}u(t-3)[/itex].

Homework Equations



y(t) = f(t) * h(t) = [itex]∫^{∞}_{-∞}f(t)h(t-\tau)d\tau[/itex]
[itex]f_{1}(t) * f_{2}(t ) = c(t)[/itex]
[itex]f_{1}(t) * f_{2}(t - T) = c(t - T)[/itex]

The Attempt at a Solution



I'm not sure how to apply the shifting property because here in f(t) I have the unit step function only which is shifted and not the exponential. Is it possible to apply the shifting property above for this problem? I don't see how I can apply it for the reason mentioned above.

Thanks for any help.
 
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  • #2
Hint: Use ##t = (t-3)+3## in the exponential in f(t).
 
  • #3
Thanks. I was able to do it. I'm however now stuck on a some what more challenging problem.

[itex]-\delta(t) * e^{t}u(-t) \stackrel{Δ}{=} ∫^{\tau = ∞}_{\tau = -∞}e^{t}u(-\tau)(-\delta(t-\tau))d\tau[/itex]

I know that

[itex]f(t) * \delta(t-T) = f(t - T)[/itex]

But I'm unsure how to apply this here. I guess in my case [itex]T = 0[/itex] but how do I tell with the negative sign of the dirac delta function? Is my solution

[itex]-e^{t}u(-t)[/itex]?

Thanks for help.
 
  • #4
You can pull the negative sign right out of the integral, right? So you should be able to see that
$$[-\delta(t)]*e^t u(-t) = -[\delta(t)*e^t u(-t)]$$
 

FAQ: Solve Convolution Problem: Find y(t) Given h(t) and f(t)

What is a convolution problem?

A convolution problem is a mathematical operation that involves two functions, typically represented as h(t) and f(t), and produces a third function, represented as y(t). It is used to model systems or processes where the output depends on the input in a time-dependent manner.

How do I solve a convolution problem?

To solve a convolution problem, you need to follow the steps of the convolution integral. First, you need to flip one of the functions, typically h(t), and shift it over the range of the other function, typically f(t). Then, you multiply the two functions at each point, and integrate the product over the entire range. The result is the function y(t).

What is the purpose of solving a convolution problem?

Solving a convolution problem allows us to understand and analyze systems or processes that have an input-output relationship. It helps us model real-world scenarios and predict the output based on the input. Convolution is widely used in various fields such as physics, engineering, and signal processing.

Can I use any functions for h(t) and f(t) in a convolution problem?

Yes, you can use any functions for h(t) and f(t) as long as they are defined over the same range. However, the convolution integral may become more complex if the functions are not continuous or if they have a complicated shape.

Are there any applications of convolution problems in real life?

Convolution problems have various applications in real life. For example, in signal processing, convolution is used to filter signals and remove noise. In image processing, it is used to blur or sharpen images. In physics, it is used to model the response of a system to an external force. In finance, it is used to model stock prices. These are just a few examples, and there are many other applications of convolution in different fields.

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