Magnitude and phase of the Fourier transform

Click For Summary
SUMMARY

The discussion centers on the Fourier transform of a rectangular pulse with a width of T=2π, resulting in the expression F(ω)=2sin(ωπ)/ω. The magnitude of F(ω) is defined as |F(ω)|=|2sin(ωπ)/ω|, while the phase ∠F(ω) alternates between 0 and π depending on the sign of the real part. A participant incorrectly assumed that the summation of |F(ω)|cos{ωt+∠F(ω)} would reconstruct the original function, which was clarified by another participant who emphasized the necessity of using the full definition of the inverse Fourier transform, particularly for complex-valued signals.

PREREQUISITES
  • Understanding of Fourier transforms and their properties
  • Knowledge of complex numbers and their representation
  • Familiarity with trigonometric and exponential forms of Fourier transforms
  • Basic algebraic manipulation skills in the context of integrals
NEXT STEPS
  • Study the properties of the Fourier transform, focusing on real and complex signals
  • Learn about the inverse Fourier transform and its applications in signal processing
  • Explore the significance of phase and magnitude in Fourier analysis
  • Investigate the implications of symmetry in Fourier transforms for real functions
USEFUL FOR

Electrical engineers, signal processing professionals, and students studying Fourier analysis who seek to deepen their understanding of the Fourier transform and its applications in reconstructing signals.

PainterGuy
Messages
938
Reaction score
73
TL;DR
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!
 
  • Like
Likes   Reactions: Delta2
Physics news on Phys.org
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
 
Last edited:
  • Like
Likes   Reactions: PainterGuy
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.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
924
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 12 ·
Replies
12
Views
12K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
3
Views
1K
  • · Replies 9 ·
Replies
9
Views
4K