Fourier Transform Properties: Difference between revisions

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We begin by finding the Fourier of x(t).
We begin by finding the Fourier of x(t).


<math>\mathcal{F}[\frac{d}{dt} X(f)] = \frac{d}{dt} [ \int_{-\infty}^{\infty} X(f)e^{-j2 \pi f t} df]</math>
<math>\mathcal{F}[\frac{d}{dt} x(t)] = \frac{d}{dt} [ \int_{-\infty}^{\infty} x(t)e^{-j2 \pi f t} df]</math>


We can then pull the derivitive into the integral and carry out its opperation.
We can then pull the derivitive into the integral and carry out its opperation.




<math> \int_{-\infty}^{\infty} x(f)\frac{d}{dt} e^{-j2 \pi ft} df = \int_{-\infty}^{\infty}-j2\pi f x(f) e^{j2\pi f t} df</math>
<math> \int_{-\infty}^{\infty} x(t)\frac{d}{dt} e^{-j2 \pi ft} dt = -j2\pi f \int_{-\infty}^{\infty} x(t) e^{-j2\pi f t} dt</math>

Since we know <math>\int_{-\infty}^{\infty} x(t) e^{-j2\pi f t} dt</math> is X(f) we can simplify.

<math>\mathcal{F}[\frac{d}{dt} x(t)]= -j2\pi f X(f)</math>


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Revision as of 19:22, 8 November 2009

Some properties to choose from if you are having difficulty....

Max Woesner

1. Find

Recall , so

Also recall ,so

Now

So


reviewed by Joshua Sarris


2. Find

Recall
Similarly,
So
Now

Note that

Added step per Nick's suggestion

Substituting gives us

And

Since is a simply a dummy variable, we can conclude that:



"I was going to make a comment on the delta identity, but after looking at it closer I think it is fine. One comment I have is that you might consider adding one more step, showing the delta function in the integral and pulling the integrands together to make it look like a double integral -- it isn't necessary and I understood the transition, but it helps the proof/identity look a little more complete. Good job!"

Example:

Reviewed by Nick Christman


Nick Christman

Note: After scratching my head for a couple of hours, I decided that I would try a different Fourier Property. In fact, I chose a property that would need to be defined in order to show my second property.

1. Find

This is a fairly straightforward property and is known as complex modulation

Combining terms, we get:


Now let's make the following substitution

This now gives us a surprisingly familiar function:


This looks just like !

We can now conclude that:



PLEASE ENTER PEER REVIEW HERE



2. Find

-- Using the above definition of complex modulation and the definition from class of a time delay (a.k.a "the slacker function"), I will attempt to show a hybrid of the two...

By definition we know that:

Rearranging terms we get:


Now lets make the substitution .
This leads us to:

After some simplification and rearranging terms, we get:

Rearranging the terms yet again, we get:

We know that the exponential in terms of is simply a constant and because of the Fourier Property of complex modualtion, we finally get:


Reviewed by Kevin Starkey --> add above... other than that it looks good.




Joshua Sarris

Find


Recall ,

so expanding we have,


Also recall ,

so we can convert to exponentials.


Now integrating gives us,



So we now have the identity,

or rather

Reviewed by Max Woesner

Also reviewed by Nick Christman -- Looks good.


Find

We begin by finding the Fourier of x(t).

We can then pull the derivitive into the integral and carry out its opperation.


Since we know is X(f) we can simplify.


Kevin Starkey

1. Find
First we know that
We also know that
(+) Which gives us
Since is only non-zero at f = 0 this yeilds

So

Reviewed by Nick Christman -- I fixed one typo (needed a minus sign in the exponential). I'm not sure about the step (+). I would like to believe it, but I'm just not sure that it works... if you are sure it works, maybe add a little comment to explain it a little better. Other than that, it looks good!


2. Find
First
or rearranging we get
Which leads to
So


PLEASE ENTER PEER REVIEW HERE