Magnitude and phase of the Fourier transform

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Discussion Overview

The discussion revolves around the Fourier transform of a rectangular pulse, specifically focusing on the magnitude and phase of the transform. Participants explore the implications of these properties in reconstructing the original function from its Fourier transform, addressing both theoretical and practical aspects.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents the Fourier transform of a rectangular pulse and discusses its magnitude and phase, noting that the phase alternates between "0" and "π" depending on the sign of the real part.
  • Another participant emphasizes that the Fourier transform requires all frequencies and mentions that a sufficient condition for the transform to be real is if the original function is even.
  • A subsequent reply clarifies that while the Fourier transform uses all frequencies, the trigonometric form typically focuses on positive frequencies, whereas the exponential form incorporates both positive and negative frequencies.
  • One participant expresses a belief that the integral of the magnitude and phase of the Fourier transform can reconstruct the original function, but another participant challenges this notion and suggests starting from the definition of the inverse Fourier transform for clarity.
  • A later reply acknowledges the misunderstanding and indicates that using complex sinusoids is necessary for proper application of the Fourier transform.

Areas of Agreement / Disagreement

Participants exhibit some agreement on the necessity of using all frequencies in the Fourier transform and the properties of the phase and magnitude. However, there is disagreement regarding the reconstruction of the original function from the Fourier transform, with differing views on the correct approach and the role of complex sinusoids.

Contextual Notes

Some limitations include the dependence on the properties of the original function, such as whether it is real or complex, and the implications of time translation on the Fourier transform. The discussion does not resolve these aspects.

PainterGuy
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Trying to understand how a function f(t) could be generated using magnitude and phase information from its FT at basic level.
Hi,

A rectangular pulse having unit height and lasts from -T/2 to T/2. "T" is pulse width. Let's assume T=2π.

The following is Fourier transform of the above mentioned pulse.
F(ω)=2sin{(ωT)/2}/ω ; since T=2π ; therefore F(ω)=2sin(ωπ)/ω

Magnitude of F(ω)=|F(ω)|=√[{2sin(ωπ)/ω}^2]=|2sin(ωπ)/ω|

Phase of F(ω), ∠F(ω): phase of complex number x+iy is defined as: θ=tan⁻¹(y/x). In case of F(ω) "y" is zero. The expression "2sin(ωπ)/ω" would alternate between "+" and "-" values. θ=lim_(y→0){tan⁻¹(y/x)}=0, π. The phase, ∠F(ω), switches between "0" and "π" depending upon the sign of "x".

I have always thought that summation or integral of:
|F(ω)|cos{ωt+∠F(ω)} for ω ≥ 0
would produce the original function. Am I thinking correctly? Thank you!
 
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The Fourier transform requires all frequencies I believe.
Even for a real f(t) the transform F(ω) is not necessarily real. A sufficient condition is that that if f(t)=f(-t) then F(ω) is real. But any translation in time by t0 will give e-iωt0F(ω).
 
I'm sorry but it looks like you're missing my question. Anyway, yes, FT requires all frequencies. Trigonometric form uses only positive frequencies while exponential form of FT used negative and positive frequencies to make things symmetric.
 
PainterGuy said:
I have always thought that summation or integral of:
|F(ω)|cos{ωt+∠F(ω)} for ω ≥ 0
would produce the original function. Am I thinking correctly? Thank you!
No.

When you have such questions, the best thing to do is start with the definition and just do the algebra:
$$ \begin{eqnarray*}
f(t) & = & \frac{1}{2\pi}\int_{-\infty}^\infty F(\omega) \, e^{i\omega t} \, d\omega \\
& = & \frac{1}{2\pi}\int_{-\infty}^\infty \left| F(\omega)\right| \, e^{i \angle F(\omega)} \, e^{i\omega t} \, d\omega \\
& = & \frac{1}{2\pi}\int_{-\infty}^\infty \left| F(\omega)\right| \left[ \cos\left(\omega t + \angle F(\omega) \right) + i \sin \left(\omega t + \angle F(\omega) \right)\right]
\end{eqnarray*}
$$

Now, if your ##f(t)## has special properties, like being real, then there are symmetries that you can use to modify this expression and perhaps throw out terms, but usually that doesn't actually help you compute anything . As an electrical engineer I usually deal with signals that are complex valued, so I always use the full definition of the inverse transform.

Note: I edited this post significantly a few minutes after the initial posting.

jason
 
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jasonRF said:
As an electrical engineer I usually deal with signals that are complex valued, so I always use the full definition of the inverse transform.

Thank you for the help. Now I can see where I was going wrong. I should have used complex sinusoid.
 

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