Determining Signal Spectra from Fourier Transform: 100 kHz Impulse Train

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Discussion Overview

The discussion revolves around determining the signal spectra from a Fourier transform of an impulse train and a cosine function. Participants explore the theoretical spectrum of a signal formed by the multiplication of a cosine wave and a rectangular wave, focusing on the implications of their Fourier transforms and how to calculate power at various frequencies.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant describes an impulse train at 100 kHz and a cosine function at 10 kHz, seeking guidance on determining the signal spectra and harmonics.
  • Another participant requests the exact problem statement to better understand the context.
  • A participant outlines the theoretical spectrum based on the Fourier transform, suggesting it resembles a sinc function centered at 100 kHz with bands at ±10 kHz, but expresses uncertainty about the correctness of this approach.
  • There is a mention of needing clarification on how to use the Fourier transform to determine power at various sample frequencies, with a proposed formula for power based on amplitude.
  • One participant, who recently completed a signals & systems course, suggests that the power in the frequency domain can be calculated by summing the squares of the Fourier transform's magnitude.
  • Another participant challenges the initial assumptions about the Fourier transform, stating that multiplication in the time domain corresponds to convolution in the frequency domain, leading to a different expected outcome for the spectrum.
  • There is a discussion about squaring the absolute value of the Fourier transform to obtain the power spectrum.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation of the Fourier transform and its implications for the signal spectrum. There is no consensus on the correct approach or outcome, and uncertainty remains regarding the calculations and interpretations presented.

Contextual Notes

Participants reference specific frequencies and mathematical expressions but do not resolve the assumptions or steps involved in their calculations. The discussion remains focused on theoretical aspects without definitive conclusions.

electricalcoolness
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Hello there,
if I have a impulse train as f(t) with a frequency of 100 khz, and cos(w_0*t) = g(t) with frequency of 10 khz, how do I go about determining the signal spectra, (i.e. harmonics n = 1,2,3...)? I determined the Fourier transform, but I get stuck as to what to do with it. :confused:

Thanks.
 
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Can you please post the problem exactly as it was given to you?

- Warren
 
Determine the theoretical spectrum by determining the Fourier transofrm for the output x(t), in the problem given below.

x(t) = f(t)(g(t)

f(t) = cos(w_0*t), Frequency = 10 KHZ
g(t) = 20% duty cycle rectangular wave, pulse height = 1, baseline = 0, frequency = 100 KHZ

From what I know right now, it looks like the Fourier transform will be a since function with center frequency 100 KHZ and bands at +- 10 KHZ.
And I came up with F(W) = (Ts)*sinc(w_0*Ts/2 - n*ws)
Ts = 1/100 KHZ
Ws = 2*pi*100 KHZ

of Which I believe I am on the right track, but I don't know for sure.

I also don't understand how to use the Fourier transform to determine the power in the signal at sample frequency, twice sample frequency, three times sample frequency...

one more thing, am I correct in that once I have the amplitude at a sample frequency the power is just A^2/2 ?

Thanks Guys. :)
 
I've just finished a signals & systems course so I'm not an expert, but i do believe that when you get the Fourier transform of the signal you "see" it in the frequency domain and to get the power of the frequency domain you just need to calculate [tex]\sum \abs(G(f)^2)[/tex] about the former part I really need more explanation if I can help you.
 
electricalcoolness said:
...
From what I know right now, it looks like the Fourier transform will be a since function with center frequency 100 KHZ and bands at +- 10 KHZ.
And I came up with F(W) = (Ts)*sinc(w_0*Ts/2 - n*ws)
Ts = 1/100 KHZ
Ws = 2*pi*100 KHZ

of Which I believe I am on the right track, but I don't know for sure.

I doubt it. Multiplication in the time domain is equivalent to convolution in the freequency domain. So in X(w), you should see the sinc functions duplicated at two locations, with centers at 10kHz and -10kHz, and the magnitude halved. Recall how cosine functions appear in the frequency spectrum.

As for the power spectrum, squaring the absolute of X(w) should yield the result.
 

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