Need help understanding Fourier transform in Hz vs radians

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Homework Help Overview

The discussion revolves around understanding the Fourier transform, specifically the differences in amplitude representation when using frequency in Hz versus angular frequency in radians. The original poster expresses confusion about how the same signal can yield different amplitudes in the Fourier transform based on the frequency interpretation.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the relationship between frequency in Hz and angular frequency, questioning how scaling factors affect amplitude representation in the Fourier transform. There is a discussion about the implications of different normalization constants and their effects on the interpretation of the transform.

Discussion Status

Some participants provide insights into the mathematical definitions of the Fourier transform and the implications of changing variables. There is an acknowledgment that while the Fourier transform remains fundamentally the same, the scaling factors can lead to different interpretations of amplitude. The conversation is ongoing, with participants examining the nuances of normalization and its impact on signal representation.

Contextual Notes

Participants note the importance of defining the normalization constants clearly when discussing the Fourier transform to avoid ambiguity in amplitude interpretation. There is also mention of conventions used in physics and engineering that influence how the transform is presented.

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Hi guys,

I'm having some issues understanding something about the Fourier transform. In my first signals and systems class we used the angular frequency omega. Doing it like that you end up with a weighing factor or 1/(2pi) when you take the transform. Now in the dsp class I am taking now we are using the frequency in Hz.

The thing I don't get is how can the amplitude in one frequency be different than in another for the same signal. I also read about another way of doing it where in both directions you multiply it by 1/sqrt(2pi), helping to preserve duality.

Is the frequency transform basically different based on how it is interpreted? Can someone help me out here, I don't know exactly what I am confused about but I don't see how it can just be arbitrarily defined and have different amplitudes for what is apparently the same thing just in a different frequency?

For example a sine wave has an amplitude of 1. So it would seem reasonable that in the Fourier transform it would have an impulse of 1 at the correct frequency. But if you use radians for the Fourier transform, it has a different amplitude!
 
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There shouldn't be any fundamental difference. When you take the FT in Hz, the argument of the exponential contains a factor of 2*pi, that is, exp(i*2*pi*f*t). Using angular freqency, the argument is exp(i*omega*t). You deal with real signals in your engineering classes, so the normalizing factor will be chosen to give the proper power spectral density (in Watts/Hz, e.g.) given a signal amplitude in volts.
 
So the Fourier Transform is still the Fourier Transform, regardless of what you scale it by? This seems weird because it would mean that if you tell someone, the FT of this is X, it could mean anything unless you give the scaling factor.
 
If you define the FT as

G(f)=\int_{-\infty}^{\infty} g(t)exp(-i2\pi ft) dt,

then the inverse transform is

g(t)=\int_{-\infty}^{\infty}G(f)exp(i2\pi ft) df.

If you change variables to

\omega=2\pi f

you necessarily get a factor of 1/(2\pi) in front of the inverse transform:

g(t)=\frac{1}{2\pi}\int_{-\infty}^{\infty}G(\omega)exp(i\omega t) d\omega.

In this case there is no difference in the amplitudes, both inverse expressions give the same thing. Notice that forward and reverse FT's are asymmetric in the latter case.

In mathematics the normalization constant is sometimes apportioned evenly between fwd and reverse transforms (using angular frequencies omega) by multiplying each by 1/\sqrt{2\pi}. This restores symmetry but changes the normalization. Thus the first two conventions are preferred in physics and engineering.

EDIT: Don't know why Latex put primes and dots next to the differentials...
 

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