Calculating impulse response in convolution.

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Discussion Overview

The discussion revolves around calculating the impulse response h(t) of a continuous time linear time invariant system, given the relationship between input x(t) and output y(t) expressed through an integral equation. Participants explore methods to manipulate the equation to derive h(t) and clarify the relationship between time and frequency domain representations of convolution.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant expresses uncertainty about manipulating the integral expression to find h(t) in the form y(t) = x(t) * h(t).
  • Another participant clarifies that convolution is represented by a product in the frequency domain and provides the time domain definition of convolution.
  • There is a discussion about the relationship between h(t) and H(s), the Laplace transform of h(t), with a participant noting that h(t) is distinct from H(s).
  • One participant attempts to manipulate the integral to express h(t) in terms of the exponential function, leading to a proposed form of h(t) as (\frac{1}{e})^{(t-\tau)}.
  • A later reply challenges this proposed form, suggesting that h(t-\tau) should include an additional term, leading to h(t-\tau) = (\frac{1}{e})^{(t-\tau)+2}.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the correct form of h(t), with differing interpretations and manipulations of the integral expression leading to competing views.

Contextual Notes

The discussion includes assumptions about the properties of convolution and the relationship between time and frequency domain representations, which remain unresolved. The manipulation of the integral expression also introduces potential dependencies on the definitions used.

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Homework Statement


y(t) = \int ^{t}_{-\infty} e^{-(t-\tau)} x(\tau-2)d\tau
Find h(t), given that the continuous time linear time invariant signal has input x(t) and output y(t).

2. The attempt at a solution
I was wondering if I can simply manipulate the expression until i get it in the form y(t) = x(t) * h(t) but I think that that approach is simply wrong. I just have no idea on how to approach this problem and was wondering if you can guide me in the right direction.
 
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ace_terabyte said:

Homework Statement


y(t) = \int ^{t}_{-\infty} e^{-(t-\tau)} x(\tau-2)d\tau
Find h(t), given that the continuous time linear time invariant signal has input x(t) and output y(t).

2. The attempt at a solution
I was wondering if I can simply manipulate the expression until i get it in the form y(t) = x(t) * h(t) but I think that that approach is simply wrong. I just have no idea on how to approach this problem and was wondering if you can guide me in the right direction.

Convolution is represented by a product only in the frequency domain: Y(s)=X(s)H(s).
In the time domain convolution is defined by the integral
y(t) = \int ^{t}_{-\infty} x(\tau) h(t-\tau)d\tau
 
Thanks for that, the question asks me to find out h(t) and does not give me any other information. I assume it is the same in both frequency and time domain.
 
ace_terabyte said:
Thanks for that, the question asks me to find out h(t) and does not give me any other information. I assume it is the same in both frequency and time domain.

NO, in the time domain you have h(t), in the frequency domain you have H(s), the Laplace transform of h(t).
Compare your equation with mine and you can obtain h(t).
 
y(t) = \int ^{t}_{-\infty} e^{-(t-\tau)} x(\tau-2)d\tau

So going by what you said:

y(t) = \int ^{t}_{-\infty} (\frac{1}{e})^{(t-\tau-2)} x(\tau)d\tau

= \int ^{t}_{-\infty} (\frac{1}{e})^{(t-\tau)} (\frac{1}{e})^{(2)}x(\tau)d\tau

=(\frac{1}{e})^{(2)} \int ^{t}_{-\infty} (\frac{1}{e})^{(t-\tau)} x(\tau)d\tau

so is h(t) = (\frac{1}{e})^{(t-\tau)} ?
 
ace_terabyte said:
y(t) = \int ^{t}_{-\infty} e^{-(t-\tau)} x(\tau-2)d\tau

So going by what you said:

y(t) = \int ^{t}_{-\infty} (\frac{1}{e})^{(t-\tau-2)} x(\tau)d\tau

= \int ^{t}_{-\infty} (\frac{1}{e})^{(t-\tau)} (\frac{1}{e})^{(2)}x(\tau)d\tau

=(\frac{1}{e})^{(2)} \int ^{t}_{-\infty} (\frac{1}{e})^{(t-\tau)} x(\tau)d\tau

so is h(t) = (\frac{1}{e})^{(t-\tau)} ?
No, h(t-\tau) =(\frac{1}{e})^{(t-\tau)+2}
 
Thanks a lot CEL, I appreciate it.
 

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