Basic Convolution - if someone wouldn't mind checking

You have correctly identified the different cases and the corresponding integrals for each case. Good job!
  • #1
FrogPad
810
0
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 [itex] x(t) [/itex] and [itex] h(t) [/itex] where:

1:
[tex] x(t) = u(t) [/tex]
[tex] h(t) = e^{-at}u(t), \,\,\, a>0 [/tex]

2.
[tex] x(t) = u(t) - u(t-T_1) [/tex]
[tex] h(t) = u(t) - u(t-T_2), \,\,\, T_1 > T_2 [/tex]


"ANSWER":
Let [itex] y(t) [/itex] be the convolution of x(t), h(t)


(1):

[tex] t < 0 [/tex]:
y(t) =0

[tex] t \geq 0 [/tex]:
[tex] y(t) = \int_{-\infty}^t e^{-a(t-\tau)}d\tau = \frac{1}{a}[/tex]


(2):

[tex] t < 0 [/tex] or [tex] t-T_2 > 0 [/tex]:
y(t) =0

[tex] t \geq 0 [/tex] and [tex] t-T_2 < 0 [/tex]:
[tex] y(t) = \int_0^t d\tau = t [/tex]

[tex] t-T_2 > 0 [/tex] and [tex] t<T_1 [/tex]:
[tex] y(t) = \int_{t-T_2}^t d\tau = T_2 [/tex]

If I need to show more steps, please let me know. Thanks!
 
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  • #2
Is u(t) a specific function- say, the unit step function?
 
  • #3
HallsofIvy said:
Is u(t) a specific function- say, the unit step function?

My apologies. I thought that was the standard notation. Yes, u(t) is the step function.

EDIT: I see how I should have said that to begin with. It is rather vague in the opening question.
 
  • #4
Please show some additional work, as I get answers different from yours.
 
  • #5
I don't think your first integral is correct. For [itex]t \geq 0 [/itex], [tex] \int_{0}^{t}x(t) h(t-\tau) \ d \tau = \int_{0}^{t} e^{-a(t-\tau)} \ d \tau[/tex].
 
  • #6
Corneo, I did not post that result because the intent of the homework section is the help the student get to the correct answer. If you give the correct answer, how does that help the student?
 
  • #7
Is what I posted considered too much help? I just wanted to show the OP the setup was wrong. I didn't think I solved the problem already. But I guess I can keep this in mind next time.
 
  • #8
Corneo said:
Is what I posted considered too much help? I just wanted to show the OP the setup was wrong. I didn't think I solved the problem already. But I guess I can keep this in mind next time.

I think you were fine. I redid the first one and got this:

[tex] y(t) = \int_{-\infty}^{\infty} x(\tau)h(t-\tau)d\tau [/tex]

Setting up the bounds gives:
[tex] x(\tau) [/tex] --- a step function in the [itex] \tau [/itex] domain.
[tex] h(t-\tau) [/tex] --- (this is kind of hard to describe), but... a inverted decaying exponential that has a value from [itex] -\infty [/itex] to [itex] t [/itex] in the [itex] \tau [/itex] domain.

We now look at the overlap regions:

[tex] t<0 [/tex] , [tex]y(t) = 0 [/tex]

[tex] t \geq 0 [/tex] , [tex] y(t) = \int_0^t e^{-a(t-\tau)}d\tau = \frac{1}{a}(1- e^{-at}) [/tex]

Thus, [tex] y(t) = \frac{u(t)}{a} (1 - e^{-at}) [/tex]

Does this look better?
 
  • #9
For the second problem.

x(t) = u(t) - u(t - T1)
y(t) = u(t) - u(t-T2)
y(t)=x(t)*h(t)Graphically,

[tex] x(\tau) [/tex] is a function that is 1 from 0 to T1
[tex] h(t-\tau) [/tex] is a function that is 1 from t-T2 to t

Thus the bounds are:

[tex] t< 0 [/tex]: no overlap, [tex] y(t) = 0 [/tex]

[tex] t-T_2 > T_1 [/tex]: no overlap, [tex] y(t) = 0 [/tex]

[tex] t>0 [/tex] AND [tex] t-T_2 < 0 [/tex]: partial overlap (left side)
[tex] y(t) = \int_0^t d\tau = t [/tex]

[tex] t-T_2 > 0 [/tex] AND [tex] t< T_1 [/tex] h(t-tau) is fully enclosed within x(tau)
[tex] y(t) = \int_{t-T_2}^t d\tau = T_2 [/tex]

[tex] t-T_2 < T_1 [/tex] AND [tex] t> T_1 [/tex]: partial overlap (right side)
[tex] y(t) = \int_{t-T_2}^{T_1} d\tau = T_1 + T_2 -t [/tex]

Is this right? Thanks again you guys
 
  • #10
FrogPad said:
Does this look better?

This one looks right.
 

What is basic convolution?

Basic convolution is a mathematical operation that combines two functions to create a third function. It is commonly used in signal processing and image processing to modify or filter signals and images.

How is convolution performed?

Convolution involves multiplying two functions, one of which is usually flipped and shifted, and then integrating the product over a certain range. This process is repeated for different ranges to create a final output function.

What is the purpose of convolution?

The main purpose of convolution is to analyze and modify signals and images. It can be used for tasks such as noise reduction, edge detection, and blurring.

What is the difference between convolution and correlation?

While convolution and correlation are similar operations, they have different purposes. Convolution is used for filtering and modifying signals and images, while correlation is used for finding patterns and similarities between two functions.

What are some real-world applications of convolution?

Convolution is used in many fields, including audio and video processing, medical imaging, and speech recognition. It is also used in technologies such as radar and sonar for signal processing and analysis.

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