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<TITLE>Discrete Fourier series</TITLE>
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<p> <font size="+1" color="green"><B>Discrete Fourier series</B></font></P>
<p>
Given <code>2N</code> samples of real data <img src="fftS02I01.png">
(where <i>j</i> <code>= 0;1;2;...;2N-1</code>) taken at equally spaced intervals
<img src="fftS02I02.png">, where <i>T</i> is the period, the corresponding
Fourier series is:</p>
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<center><img align="top" src="fftS02I03.png"></center></p>
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where <img src="fftS02I04.png"> and
<img src="fftI03.png"> is the mean value of
<img src="fftS02I05.png">.</p>
<p>
From the original <code>2N</code> data points, we have exactly <code>2N</code>
calculated coefficients, that is, we have <code>N+1</code>
<img src="fftI01.png">'s and <code>N-1</code>
<img src="fftI02.png">'s with "real" information.</p>
<p>
If <i>t</i><code>=0</code> at <img src="fftS02I06.png">, then for each
<img src="fftS02I07.png"> we have <img src="fftS02I08.png">,
for <i>j</i> <code>= 0;1;...;2N-1</code>, and so</p>
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<center><img align="top" src="fftS02I09.png"></center></p>
<p>
The amplitude, <i>A</i>, and the phase, <i>P</i>, are calculated as follows:</p>
<p>
<center><img align="top" src="fftS02I10.png"></center></p>
<p>
<center><img align="top" src="fftS02I11.png"></center></p>
<p>
<center><img align="top" src="fftS02I12.png"></center></p>
<p>
<center><img align="top" src="fftS02I13.png"></center></p>
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<a href="fftS01.htm"><img align="top" border="0" src="../shadow_left.gif">
<font size="+1" color="olive">Fourier coefficients</font></a><br />
<a href="fftS03.htm"><img align="top" border="0" src="../shadow_right.gif">
<font size="+1" color="olive">Restrictions</font></a></P>
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