Fourier Transform of an equation representing a sound

In summary, the conversation involved a student seeking help with a Fourier Transform problem. Another user pointed out a mistake in the student's work and provided guidance on how to complete the problem correctly. The student made revisions and asked for further assistance, to which the user provided additional suggestions for simplification. The student thanked the user for their help and shared their revised solution.
  • #1
pitchtwit
26
0

Homework Statement



http://dl.dropbox.com/u/11341635/IntegrationProblem.jpg

Homework Equations



http://dl.dropbox.com/u/11341635/Fourier%20Transform%20Equations.jpg

The Attempt at a Solution



http://dl.dropbox.com/u/11341635/1st%20part%20of%20attempt.png
http://dl.dropbox.com/u/11341635/2nd%20part%20of%20attempt.JPG
http://dl.dropbox.com/u/11341635/3rd%20part%20of%20attempt.JPG

The 3rd part of the attempt is only the top half of the page.

Any help would be greatly appreciated.
 
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  • #2
You made a mistake in the very beginning. You can't pull ##\cos\omega_0 t## out like that.

You had
\begin{align*}
x(t) &= e^{-(t/t_0)^2}\cos [\omega_0t(1-qt)] \\
&= e^{-(t/t_0)^2}\left[\frac{e^{j\omega_0t(1-qt)} + e^{-j\omega_0t(1-qt)}}{2}\right]
\end{align*}So far, so good. When you multiply it out, you get two terms. Looking at just the exponential in the first term, you have
$$e^{-(t/t_0)^2}e^{j\omega_0t(1-qt)} = \exp \left[-\left(\frac{t}{t_0}\right)^2 + j\omega_0t(1-qt)\right]$$Now collect powers of t in the exponent to get:
$$e^{-(t/t_0)^2}e^{j\omega_0t(1-qt)} = \exp \left[-\left(\frac{1}{t_0^2} + j\omega_0q\right)t^2 + j\omega_0 t\right] = \exp \left[-\alpha^2\left(t^2 - \frac{j\omega_0 }{\alpha^2} t \right)\right]$$ where ##\alpha^2 = \frac{1}{t_0^2} + j\omega_0q##. What you want to do now is to complete the square in the exponent so you'll end up with an integral that looks like the one given in the identity. Obviously, you'll have to do a similar calculation for the second term.
 
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  • #3
Thankyou so much - I've just watched a quick refresher on YouTube for completing the square so we'll see how I get on now I guess.
 
  • #4
I've done the majority of the work I think. It'd be great if you'd be willing to give it a quick look.

http://dl.dropbox.com/u/11341635/2nd%20attempt.png
 
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  • #5
Be careful with the signs, otherwise it looks good so far. You also need a factor of m in front.
 
  • #6
a solution of sorts

Well I'm done. The end equation looks pretty weighty, so I've know idea if it's right or not. Thanks again for your help so far.

http://dl.dropbox.com/u/11341635/Part%201.png

http://dl.dropbox.com/u/11341635/Part%202.png

http://dl.dropbox.com/u/11341635/Part%203.png
 
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  • #7
Sorry if this is a bit OT, but does anybody know where I could learn about this kind of stuff? It really interests me. (keep in mind I'm only in calculus in high school right now)
 
  • #8
Actually I've been finding YouTube to be a pretty good place for tutorials on even some pretty hefty maths. Check out Matlab - it's like Excel but a million times better. Also check out Mathematica and their demos project - http://demonstrations.wolfram.com/

I wouldn't recommend Wikipedia as a place to start with Maths - unless it's incredibly simple stuff. It's not that it's unreliable - it's actually pretty reliable. It's more that you get way way too much information without any nice ways of explaining things.
 
  • #9
Whoops! We should have multiplied by e-jωt right from the start. Also, I still see numerous algebra errors I alluded to before.

Why are you integrating from -0.1 to 0.1? For the Fourier transform, you're supposed to integrate from -∞ to +∞.
 
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  • #10
Well I checked the plus and minus signs quite a few times already. I'm not sure about the factor of m - where does that come in?

I'm integrating from -0.1 to 0.1 because the original graph dies off towards -0.1 and 0.1
 
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  • #11
You could carry on from where you are (after you fix the errors that are already there). You'll end up completing the square yet again.

If you start with the factor e-jωt right from the start, you only have to complete the square once. It's actually not that hard to fix. Going back to what I wrote in post #2, when you include the exponential from the Fourier transform, you get

$$e^{-(t/t_0)^2}e^{j\omega_0t(1-qt)}e^{-j\omega t} = \exp \left[-\left(\frac{1}{t_0^2} + j\omega_0q\right)t^2 + j\omega_0 t\right]e^{-j\omega t} = \exp \left[-\alpha^2\left(t^2 - \frac{j(\omega_0-\omega)}{\alpha^2} t \right)\right]$$So only the coefficient of the linear term changes slightly.
 
  • #12
pitchtwit said:
Well I checked the plus and minus signs quite a few times already. I'm not sure about the factor of m - where does that come in?
Look at the coefficient of t2 before and after you completed the square. They should be equal, but they're not in your work. Also, the sign of the quadratic term has to be negative, otherwise the integral won't converge.

The problem is coming up because of the way you're completing the square. You don't need to set anything to 0, and you can't just arbitrarily decide to divide out m or p. Look at it this way:
$$ax^2+bx = a\left(x^2+\frac{b}{a}x\right)$$Now complete the square of the quadratic inside the parentheses to get
$$ax^2+bx = a\left(x^2+\frac{b}{a}x\right) = a\left[x^2+\frac{b}{a}x + \left(\frac{b}{2a}\right)^2 - \left(\frac{b}{2a}\right)^2\right] = a\left(x+\frac{b}{2a}\right)^2 - a\left(\frac{b}{2a}\right)^2$$
 
  • #13
Okay - got it now. Many many thanks.
 
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  • #14
New version of the solution

Not sure who's around - have been working on this for a bit - would be grateful for a hand - my solution seems too hefty. The aim was to do an analytical Fourier transform using a couple of trigonometric identities.

http://dl.dropbox.com/u/11341635/1st%20bit.png

http://dl.dropbox.com/u/11341635/2nd%20bit.png

http://dl.dropbox.com/u/11341635/3rd%20bit.png
 
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  • #15
Looks good. You can simplify it a bit by getting the imaginary terms out of the denominators, but the answer doesn't look like it's going to come out nice and neat like you want.
 
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Related to Fourier Transform of an equation representing a sound

1. What is the Fourier Transform of an equation representing a sound?

The Fourier Transform of an equation representing a sound is a mathematical tool used to convert a time-domain signal (a sound wave) into its frequency-domain representation. It decomposes the sound wave into its individual frequencies, allowing for a better understanding of the sound's components.

2. How is the Fourier Transform used in sound analysis?

The Fourier Transform is used in sound analysis to identify and isolate specific frequencies present in a sound wave. This allows for the identification of different instruments or voices in a recording, as well as the removal of unwanted noise or distortion.

3. Can the Fourier Transform be applied to any sound wave?

Yes, the Fourier Transform can be applied to any sound wave, as long as it is represented by a mathematical equation. This includes both simple and complex sounds, such as musical notes, human speech, and environmental noise.

4. What are the benefits of using the Fourier Transform in sound analysis?

The Fourier Transform allows for a more detailed analysis of a sound wave, as it breaks it down into its individual frequency components. This can provide insights into the characteristics and quality of the sound, and can also be used for tasks such as noise reduction and speech recognition.

5. Are there any limitations to using the Fourier Transform in sound analysis?

While the Fourier Transform is a powerful tool in sound analysis, it is not without its limitations. For example, it assumes that the sound wave is continuous and does not take into account any changes in the sound over time. It also has difficulties analyzing non-stationary signals, such as sounds with rapidly changing frequencies.

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