Fourier transform (integration)

In summary, The conversation discusses the definition of the Fourier transform and how to solve a problem involving it. The first part involves using the step function to replace the lower limit of the integral, while the second part involves integrating the function u(t+4)e^(t(-1-iw)-4). The unit step function is also mentioned as a helpful resource. The conversation ends with confirmation that the integrals are correct and a suggestion to use the substitution t'=t+4 to evaluate the integral.
  • #1
gomes.
58
0
Got stuck in the second part, any help is appreciated, cheers.
 

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  • #2
What's the definition of the Fourier transform? The problem is asking you to find the Fourier transform of that function using it.
 
  • #3
thanks, i tried doing that but I am not sure what to do with the u(t+4) bit.

btw is my first part correct? (question 1)
 

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  • #4
The step function makes the integrand equal to 0 when t+4<0, so that let's you replace the lower limit of the integral with -4.
 
  • #5
thanks, but how would i integrate u(t+4)e^[t(-1-iw)-4]?

How do i deal with the u(t+4)?
 
  • #6
What is u(t+4) equal to for t>-4?
 
  • #7
sorry I am really stuck, u(t)?
 
  • #9
thanks, i think i might have missed out on that lecture, which explains why.

Is what I've done correct?
 

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  • #10
Well, the first line definitely doesn't equal the second line.

The integrals look okay.
 
  • #11
sorry, I am really really stuck. What should the next line be, after the first line? Could someone possibly show me how to proceed from the 1st line?
 
  • #12
Perhaps you misunderstood. I meant:

[tex]u(t) \ne \int_{-\infty}^\infty u(t+4) e^{t(-1-i\omega)-4}\,dt[/tex]

The integral in the second line is fine to calculate the Fourier transform you're looking for, but it's definitely not equal to u(t) as you wrote.

Try the substitution t'=t+4 to evaluate the integral.
 
  • #13
thanks! got it now
 

FAQ: Fourier transform (integration)

What is a Fourier transform?

A Fourier transform is a mathematical operation that decomposes a function into its frequency components. It takes a function in the time or spatial domain and converts it into a function in the frequency domain, showing the amplitude and phase of each frequency component.

How is a Fourier transform calculated?

The Fourier transform is calculated by integrating the function over its entire domain using a specific formula. This formula involves complex numbers and involves breaking down the function into its sine and cosine components.

3. What are the applications of a Fourier transform?

Fourier transforms have a wide range of applications in various fields such as signal processing, image processing, and data compression. They are also used in solving differential equations and in analyzing the frequency content of a signal.

4. What is the difference between a Fourier transform and a Fourier series?

A Fourier transform is used for continuous functions with an infinite domain, while a Fourier series is used for periodic functions with a finite domain. A Fourier transform gives a continuous spectrum of frequencies, while a Fourier series gives a discrete spectrum of frequencies.

5. Are there any limitations to using Fourier transforms?

Fourier transforms assume that the function is periodic and has a finite energy. They also assume that the function is well-behaved and has no sudden changes or discontinuities. These limitations may affect the accuracy of the results in some cases.

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