Convolution - Fourier Transform

Click For Summary

Discussion Overview

The discussion centers around the convolution of an input signal with an impulse response in a linear time-invariant (LTI) system. Participants explore the Fourier transform method to find the system output and analyze the dominant frequency and maximum value of the output signal. The conversation includes technical calculations and conceptual clarifications related to the properties of delta functions and the behavior of the system.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant attempts to find the output y(t) using the Fourier transform but encounters an issue with the integral for X(Ω), suggesting it diverges to infinity.
  • Another participant corrects the transform expression for X(ω), stating it results in a delta function, X(ω) = 2πδ(ω - Ω), and suggests looking up delta function properties.
  • There is a discussion on how to derive Y(ω) from X(ω) and H(ω), with a focus on the inverse transform to obtain y(t).
  • Some participants point out the need to recompute H(ω) correctly, emphasizing that h(t) = 0 for t < 0, which is crucial for the problem's physical interpretation.
  • One participant expresses concern that using an absolute value in h(t) would be unphysical, as it implies a response before the impulse.
  • A later reply connects the problem to a series R-C circuit, suggesting that the impulse response can be understood in the context of circuit analysis and linear response theory.

Areas of Agreement / Disagreement

Participants generally agree on the need to correctly compute the Fourier transforms and the implications of the delta function. However, there are disagreements regarding the physical interpretation of h(t) and the implications of using absolute values in the context of the problem.

Contextual Notes

There are unresolved issues regarding the assumptions made about the impulse response and the conditions under which the Fourier transforms are applied. The discussion also highlights the dependence on definitions of the functions involved and the mathematical steps required to arrive at the solution.

Jonski
Messages
42
Reaction score
0

Homework Statement


An LTI system has an impulse response h(t) = e-|t|
and input of x(t) = ejΩt

Homework Equations


Find y(t) the system output using convolution
Find the dominant frequency and maximum value of y(t)
Ω = 2rad/s

The Attempt at a Solution


I have tried using the Fourier transform to get y(t) but when you try to find X(Ω), I get infinity
as X(Ω) = ∫ x(t) * e-jΩtdt = ∫ e jΩt*e-jΩtdt = ∫ 1 dt = t between inf and -inf
h(t) I could find as 2/(1+Ω2)

Any ideas on how to solve this?
 
Last edited:
Physics news on Phys.org
You need to write the transform as ## X(\omega)=\int x(t) e^{-i \omega t} dt ##. The result is ## X(\omega)=2 \pi \, \delta(\omega-\Omega) ##. You need to read about delta functions. If you google it, you should find some useful formulas like the one I just gave you.
 
Charles Link said:
You need to write the transform as ## X(\omega)=\int x(t) e^{-i \omega t} dt ##. The result is ## X(\omega)=2 \pi \, \delta(\omega-\Omega) ##. You need to read about delta functions. If you google it, you should find some useful formulas like the one I just gave you.
So then using that you would get that Y(w) = 4π/(1+w2) * δ(w-2), but then how would you get that back into the time domain?
 
## H(\omega)=\int\limits_{0}^{+\infty} h(t) e^{-i \omega t} dt ##, since ## h(t)=0 ## for ## t<0 ##. (Perhaps they didn't tell you this (## h(t)=0 ## for ## t<0 ##) in the problem statement, but it is clear that that's what they want). Try recomputing ## H(\omega) ##.(You have it incorrect). ## \\ ## Now ## Y(\omega)=H(\omega)X(\omega) ##. (That part you have correct.) ## \\ ## Use an inverse transform to get ## y(t)=\frac{1}{2 \pi} \int\limits_{-\infty}^{+\infty} Y(\omega) e^{i \omega t} \, d \omega ##. ## \\ ## Wait until you process everything to put in the value for ## \Omega ##.
 
Charles Link said:
## H(\omega)=\int\limits_{0}^{+\infty} h(t) e^{-i \omega t} dt ##, since ## h(t)=0 ## for ## t<0 ##. Try recomputing ## H(\omega) ##.(You have it incorrect). ## \\ ## Now ## Y(\omega)=H(\omega)X(\omega) ##. (That part you have correct.) ## \\ ## Use an inverse transform to get ## y(t)=\frac{1}{2 \pi} \int\limits_{-\infty}^{+\infty} Y(\omega) e^{i \omega t} \, d \omega ##. ## \\ ## Wait until you process everything to put in the value for ## \Omega ##.
Sorry the reason why I got what i did for H(w), was because I forget to put in an absolute around the t. I've changed in now
 
Jonski said:
Sorry the reason why I got what i did for H(w), was because I forget to put in an absolute around the t. I've changed in now
An ## h(t) ## with an absolute value would be unphysical. That is saying it responds before the impulse. These functions always begin at ## t=0 ##. If they gave you the problem in such a fashion, it is unphysical.
 
Incidentally, if ## H(t) ## is the response to a unit step function, ## h(t)=\frac{dH(t)}{dt} ## is the response to the delta function. The problem they gave you, if I'm not mistaken, is basically a series R-C circuit (along with an input voltage source) with the output voltage being measured across the capacitor, and the product ## RC=1 ##, because of the form ## h(t)=e^{-t} ##. ## \\ ## Let the input voltage source be a unit step function, and/or a delta function, and you can compute the ## h(t) ## that they give you., i.e. for the R-C circuit, with ## RC=1 ##, when ## V_{in} (t)=\delta(t) ##, you get ## V_C(t)=e^{-t} ## for ## t>0 ## . Try and see. I believe I have this result correct. ## \\ ## And additional item: If you are familiar with ac circuit analysis, try comparing the result that you get from the linear response theory with that from computing the ac impedances of the two components and considering it as a voltage divider problem-i.e. the ac voltage across the capacitor is readily computed.
 
Last edited:

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K