Fourier transform of rectangular pulse (Waves)

In summary, the conversation discusses the definition of F(w) in terms of f(t) and the correct equation for F(w) as a function of w. There is a discrepancy between the given definition and the solution, which is clarified by understanding the integration boundaries and the variable being integrated with respect to.
  • #1
tigger88
21
0

Homework Statement



F(w) is the Fourier transform of f(t). Write down the equation for F(w) in terms of f(t).
A rectangular pulse has height H and total length t0 in time. Show that as a function of w, the amplitude density is propertional to sinc(wt0/2).

Homework Equations



F(w) = integral from -infinity to +infinity of: f(t)exp(-iwt)dw

The Attempt at a Solution



integral from -t0/2 to +t0/2 of: h*exp(-iwt)dw

I have access to the solution to this problem, which says that it should be:
integral from -t0/2 to +t0/2 of: h*exp(-iwt)dt,
but I don't understand why I'm integrating wrt t now, when the definition says w.

Could somebody please explain this?

Thanks in advance.
 
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  • #2
Where do you get that definition from? Think about it, you want to find a function [itex]F(\omega)[/itex], but if you calculate the integral you've written down as the "definition" then the integration boundaries will be inserted into [itex]\omega[/itex] after the integration. As as a result you won't have a function with variable [itex]\omega[/itex].

The correct definition is (normalization conventions can be different):
[tex]
F(\omega)}=\int_{-\infty}^\infty e^{-i \omega t} dt
[/tex]
 
  • #3
Actually I got that definition from the solution to the question. It makes a whole lot more sense now, thanks for your reply!
 

1. What is a Fourier transform?

A Fourier transform is a mathematical tool used to decompose a complex signal into its component frequencies.

2. How is a Fourier transform applied to rectangular pulses?

A Fourier transform can be applied to rectangular pulses by representing the pulse as a series of sinusoidal waves with different frequencies and amplitudes.

3. What is the purpose of using a Fourier transform on rectangular pulses?

The purpose of using a Fourier transform on rectangular pulses is to analyze the frequency content of the signal and identify the dominant frequencies present.

4. Can a Fourier transform be used to convert a rectangular pulse into a continuous wave?

No, a Fourier transform does not change the shape or duration of a signal. It only breaks down the signal into its frequency components.

5. How is the inverse Fourier transform used in relation to rectangular pulses?

The inverse Fourier transform is used to reconstruct a signal from its frequency components. In the case of rectangular pulses, it can be used to reconstruct the original pulse from its sinusoidal components.

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