Fourier transform: signal with filter

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Homework Help Overview

The discussion revolves around the Fourier transform of a finite-time signal resulting from the application of a filter G(t) to a signal x(t). The filter is defined as being "on" for a specific interval and "off" otherwise. Participants are exploring the Fourier transform of both the filtered signal and a specific sine function as the input signal.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • The original poster attempts to compute the Fourier transform of the filter and apply the convolution theorem, expressing uncertainty about the correctness of their approach. Other participants discuss the convolution theorem's application in this context and suggest alternative interpretations of the Fourier transform of the product of functions.

Discussion Status

Participants are actively engaging with the problem, with some providing guidance on the application of the convolution theorem. There is an acknowledgment of the need for clarity in the mathematical expressions being used, and the discussion is progressing with various interpretations being explored.

Contextual Notes

There is a mention of the importance of using a structured template for clarity in the discussion. The original poster expresses confusion about the initial steps, indicating a potential gap in understanding the application of the Fourier transform in this scenario.

JustPeter
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Hi Guys,

I'm having trouble with the following:

A finite-time signal is the result of a filter G(t) applied to a signal. The filter is simply “on” (1) for t ∈ [0,T] and off (“0”) otherwise. If x(t) is the signal, and x(ω),its Fourier transform, compute the Fourier transform of the filtered signal. Next, take a simple sine for x(t), x(t) = sin(ω0t), and compute the Fourier transform for the finite-time signal. Write the result, it must involve the filter, and integrations should stretch [−∞,∞]

I don't really know what to do exactly, with the first problem.

I can try calculating the Fourier transform of the filter:

G(ω)= ∫0T e-iωtdt = -1/(iω)⋅(e-iωT-1)

The Fourier transform of the signal is: x(ω)

The convolution theorum says that the convolution of two functions is the product of the Fourier-transformed functions. Which makes: G(ω)x(ω).

But I have the idea that this isn't right. Could one of you guys assist me?

Peter
 
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The convolution theorem also works the other way around: the Fourier transform of the product of a step function and some other function is the convolution of their Fourier transforms.

By the way: do use the template, don't erase it. It helps you order to your thinking and us to help you better
 
BvU said:
The convolution theorem also works the other way around: the Fourier transform of the product of a step function and some other function is the convolution of their Fourier transforms.

Ok. If I understand you correctly, you mean:

Fourier{x(t)g(t)} = 1/2π ⋅ X(ω)⊗G(ω) ==>

Writing -1/(iω)⋅(e-iωT-1) to -1/iω⋅e-iωT/2(e-iωT/2-eiωT/2) = T⋅e-iωT/2⋅sinc(ωT/2)

Fourier{x(t)g(t)}=1/2π⋅∫-∞ X(w-w')⋅T⋅sinc(ω'T/2) dω' ??

BvU said:
By the way: do use the template, don't erase it. It helps you order to your thinking and us to help you better
Sorry, I will do that next time, thanks!
 
Looks reasonable (all the contributions are there -- didn't check the gory details. Most of the time I use a table like this)
I take it you mean ##\ x(\omega-\omega_0) \ ## ?

Now for the second part ...
 

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