Homework Three: Difference between revisions

From Class Wiki
Jump to navigation Jump to search
No edit summary
No edit summary
 
(38 intermediate revisions by 2 users not shown)
Line 1: Line 1:
'''Look carefully at the signs in your exponential for the Fourier transform (<math>e^{-j2\pi ft}</math>) and its inverse (<math>e^{j2\pi ft}</math>)... -Brandon'''
<br/>
''Edited errors described above''--[[User:Nicholas.Christman|Nicholas.Christman]] 16:07, 3 December 2009 (UTC)



'''October 5th, 2009, class notes (as interpreted by Nick Christman)'''
'''October 5th, 2009, class notes (as interpreted by Nick Christman)'''


----
----


[[Nick Christman|<b><u>Nick Christman</u></b>]]<br><br>
The topic covered in class on October 5th was about how to deal with signals that are not periodic.
The topic covered in class on October 5th was about how to deal with signals that are not periodic.


Given the following fourier series, what if the signal is not periodic?
Given the following Fourier series (Equation 1), what if the signal is not periodic?

<math> x(t) = x(t+T) = \sum_{n=- \infty}^{\infty} \alpha _n e^{\frac{j2 \pi nt}{T}}</math> '''where''' <math> \alpha _n = \frac{1}{T} \int_{-\frac{T}{2}}^{\frac{T}{2}} x(t')e^{- \frac{j2 \pi nt'}{T}} \,dt' </math>

To investigate this potential disaster, let's look at what happens as the period increases (i.e. not periodic). Essentially, as <math>T \rightarrow \infty</math> we can say the following:
<table>
<tr>
<td width=100>
<math>\frac{1}{T}</math>
</td>
<td width=50>
<math>\rightarrow</math>
</td>
<td widt=100>
<math>\,df</math>
</td>
</tr>
<tr>
<td>
<math>\frac{n}{T}</math>
</td>
<td>
<math>\rightarrow</math>
</td>
<td>
<math>\,f</math>
</td>
</tr>
<tr>
<td>
<math>\sum_{n=- \infty}^{\infty} \frac{1}{T}</math>
</td>
<td>
<math>\rightarrow</math>
</td>
<td>
<math>\int_{-\infty}^{\infty}(\mbox{ })\,df</math>
</td>
</tr>
</table>

With this, we get the following (Equation 2):

<math>

x(t) = \lim_{T \to \infty} \left[ \sum_{n=- \infty}^{\infty} \left(\frac{1}{T} \int_{-\frac{T}{2}}^{\frac{T}{2}} x(t')e^{- \frac{j2 \pi nt'}{T}} \,dt' \right) e^{\frac{j2 \pi nt}{T}} \right] \equiv \int_{- \infty}^{\infty} \left( \int_{-\infty}^{\infty} \,x(t') e^{-j2 \pi ft'} \,dt' \right) e^{j2 \pi tf} \,df

</math>

Given the above equivalence, we say the following:

<math>

\,X(f) = \int_{-\infty}^{\infty} \,x(t') e^{j2 \pi ft'} \,dt'

</math>

Therefore, we have obtained an equation to relate the Fourier analysis of a function in the time-domain to the frequency-domain:

<table>
<tr>
<td width=100><math>\,X(f) = \int_{-\infty}^{\infty} \,x(t) e^{j2 \pi ft} \,dt</math></td>
<td width=100 align="center"><math>\equiv</math></td>
<td width=100><math>\langle x(t) | e^{j2 \pi tf} \rangle </math></td>
<td width=200><math>\,x(t) \mbox{ projected onto } e^{j2 \pi tf}</math></td>
</tr>

<tr>
<td><math>\,x(t) = \int_{-\infty}^{\infty} \,X(f) e^{-j2 \pi ft} \,df</math></td>
<td align="center"><math>\equiv</math></td>
<td><math>\langle X(f) | e^{-j2 \pi tf} \rangle </math></td>
<td><math>\,X(f) \mbox{ projected onto } e^{-j2 \pi tf}</math></td>
</tr>

</table>


From this we can see that <math>\,x(t)</math> is the inverse Laplace transform of <math>\,X(f)</math>. Similarly, <math>\,X(f)</math> is the Laplace transform of <math>\,x(t)</math>



The next thing we did was rearranged some limits within Equation 2 (given the above similarities) to give us the following:

<table>
<tr>
<td width=100>
<math>\int_{- \infty}^{\infty} \left( \int_{-\infty}^{\infty} \,x(t') e^{-j2 \pi ft'} \,dt' \right) e^{j2 \pi tf} \,df</math>
</td>
<td width=100 align="center">
<math>\equiv</math>
</td>
<td width=100>
<math>\int_{- \infty}^{\infty} \,x(t') \left( \int_{-\infty}^{\infty} e^{j2 \pi f(t-t')} \,df \right) \,dt'</math>
</td>
</tr>
</table>

Notice that <math>e^{j2 \pi f(t-t')} \equiv \delta (t-t')</math>

Similarly,

<table>
<tr>
<td width=100>
<math>\int_{- \infty}^{\infty} \left( \int_{-\infty}^{\infty} \,X(f') e^{j2 \pi f't} \,dt' \right) e^{-j2 \pi tf} \,df</math>
</td>
<td width=100 align="center">
<math>\equiv</math>
</td>
<td width=100>
<math>\int_{- \infty}^{\infty} \,X(f') \left( \int_{-\infty}^{\infty} e^{j2 \pi t(f'-f)} \,df \right) \,dt'</math>
</td>
</tr>
</table>

Again, notice that <math>e^{j2 \pi f(f'-f)} \equiv \delta (f'-f) = \delta (f-f')</math>


This is good news for both the time-domain and frequency domain, because these integrals will only be non-zero only when <math> \,t = \,t' \mbox{ and } \,f = \,f'</math> respectively.
<math> x(t) = x(t+T) = \sum_{n=- \infty}^{\infty} \alpha _n e^{\frac{j2 \pi nt}{T}} \mbox{ ''where'' }\alpha _n = \frac{1}{T} \int_{-\frac{T}{2}}^{\frac{T}{2}} x(t')e^{- \frac{j2 \pi nt'}{T}} \,dt' </math>


Is it possible to
----
----



Latest revision as of 08:07, 3 December 2009

Look carefully at the signs in your exponential for the Fourier transform () and its inverse ()... -Brandon
Edited errors described above--Nicholas.Christman 16:07, 3 December 2009 (UTC)


October 5th, 2009, class notes (as interpreted by Nick Christman)


Nick Christman

The topic covered in class on October 5th was about how to deal with signals that are not periodic.

Given the following Fourier series (Equation 1), what if the signal is not periodic?

where

To investigate this potential disaster, let's look at what happens as the period increases (i.e. not periodic). Essentially, as we can say the following:

With this, we get the following (Equation 2):

Given the above equivalence, we say the following:

Therefore, we have obtained an equation to relate the Fourier analysis of a function in the time-domain to the frequency-domain:


From this we can see that is the inverse Laplace transform of . Similarly, is the Laplace transform of


The next thing we did was rearranged some limits within Equation 2 (given the above similarities) to give us the following:

Notice that

Similarly,

Again, notice that

This is good news for both the time-domain and frequency domain, because these integrals will only be non-zero only when respectively.


Back