Finding the Inverse Fourier Transform of e^-5w*sinc(2w)?

In summary, to find the inverse Fourier transform of f(w)=e-i5wsinc(2w), you can use the shifting property of FT and the property that relates the transforms of f(t) and f(at). This will allow you to solve the integral from the definition of sinc and find the inverse Fourier transform.
  • #1
Luongo
120
0
1. find the inverse Fourier transform of f(w)=e-i5wsinc(2w)



2. I set up the integral to be from defn of sinc: 1/2pi*integral from -infinity to infinity (sin(2w)/2w)*e^-5w



3. i have no idea how to solve this integral, is there a better way to do this?
i know that rect(t) has a F.T. of sinc(w/2) but how do i go the other way if it's 2w, not w/2?
 
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  • #2
The way that one normally does this sort of thing it to use countour integration.
 
  • #3
Luongo said:
1. find the inverse Fourier transform of f(w)=e-i5wsinc(2w)



2. I set up the integral to be from defn of sinc: 1/2pi*integral from -infinity to infinity (sin(2w)/2w)*e^-5w



3. i have no idea how to solve this integral, is there a better way to do this?
i know that rect(t) has a F.T. of sinc(w/2) but how do i go the other way if it's 2w, not w/2?

Yes, there is a better way to do it. Use the shifting property of FT. If we denote the transform of f(t) by F(ω), one of the shifting properties gives:

[tex]f(t-t_0) \leftrightarrow e^{-i\omega t_0}F(\omega)[/tex]
 
  • #4
There's also property that relates the Fourier transforms of f(t) and f(at). (I'll leave it to you to look it up in your textbook.) You should be able to solve the problem using that property along with the shifting property LCKurtz mentioned.
 

1. What is an Inverse Fourier transform?

An Inverse Fourier transform is a mathematical operation that converts a frequency domain representation of a signal into a time domain representation. It is the reverse process of a Fourier transform, which converts a time domain representation into a frequency domain representation.

2. Why is an Inverse Fourier transform important?

An Inverse Fourier transform is important because it allows us to analyze signals and data in the time domain, which is often more intuitive and easier to interpret. It also allows us to reconstruct a signal from its frequency components, which is useful in many applications such as signal processing and data compression.

3. How is an Inverse Fourier transform calculated?

An Inverse Fourier transform is calculated using a mathematical formula that involves complex numbers and integrals. The specific formula used depends on the type of Fourier transform being used (e.g. discrete or continuous, one-dimensional or multi-dimensional).

4. What is the relationship between an Inverse Fourier transform and a Fourier series?

An Inverse Fourier transform is essentially a generalization of a Fourier series. Both involve breaking down a signal into its frequency components, but a Fourier series is limited to periodic signals while an Inverse Fourier transform can be applied to any signal. Additionally, a Fourier series uses a discrete set of frequencies while an Inverse Fourier transform uses a continuous range of frequencies.

5. What are some practical applications of Inverse Fourier transforms?

Inverse Fourier transforms have numerous practical applications in fields such as engineering, physics, and signal processing. They can be used for signal analysis, filtering, and reconstruction, as well as in image processing and data compression. They also have applications in solving differential equations, calculating probabilities, and in quantum mechanics.

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