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	<title>Comments on: Tues Apr 17</title>
	<atom:link href="http://www.stat.cmu.edu/~kass/smnp/?feed=rss2&#038;p=123" rel="self" type="application/rss+xml" />
	<link>http://www.stat.cmu.edu/~kass/smnp/?p=123</link>
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	<lastBuildDate>Thu, 26 Apr 2012 14:07:02 +0000</lastBuildDate>
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		<title>By: Rex Tien</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-326</link>
		<dc:creator>Rex Tien</dc:creator>
		<pubDate>Tue, 17 Apr 2012 13:23:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-326</guid>
		<description>FFT is the typical way to apply the Fourier transform... are there any pitfalls associated with FFT that we should know about, and are there sometimes other methods which should be used?</description>
		<content:encoded><![CDATA[<p>FFT is the typical way to apply the Fourier transform&#8230; are there any pitfalls associated with FFT that we should know about, and are there sometimes other methods which should be used?</p>
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		<title>By: Scott Kennedy</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-325</link>
		<dc:creator>Scott Kennedy</dc:creator>
		<pubDate>Tue, 17 Apr 2012 13:00:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-325</guid>
		<description>We seem to just multiply the sine term in Euler&#039;s formula (18.21) by i. Does that mean we divide it out after we perform all the calculations? Does this impact any of the math?</description>
		<content:encoded><![CDATA[<p>We seem to just multiply the sine term in Euler&#8217;s formula (18.21) by i. Does that mean we divide it out after we perform all the calculations? Does this impact any of the math?</p>
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		<title>By: Thomas Kraynak</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-324</link>
		<dc:creator>Thomas Kraynak</dc:creator>
		<pubDate>Tue, 17 Apr 2012 12:52:20 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-324</guid>
		<description>I&#039;m having trouble understanding exactly how we break down the signal into its harmonic components - can you go over this?</description>
		<content:encoded><![CDATA[<p>I&#8217;m having trouble understanding exactly how we break down the signal into its harmonic components &#8211; can you go over this?</p>
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		<title>By: David Zhou</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-323</link>
		<dc:creator>David Zhou</dc:creator>
		<pubDate>Tue, 17 Apr 2012 12:48:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-323</guid>
		<description>Would you ever take a measure of periodicity by doing linear regression on repeating segments of a curve?

I found the section on Fourier analysis very useful, thanks.</description>
		<content:encoded><![CDATA[<p>Would you ever take a measure of periodicity by doing linear regression on repeating segments of a curve?</p>
<p>I found the section on Fourier analysis very useful, thanks.</p>
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		<title>By: Matt Bauman</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-322</link>
		<dc:creator>Matt Bauman</dc:creator>
		<pubDate>Tue, 17 Apr 2012 12:48:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-322</guid>
		<description>Is the series of trig functions where k=1,2,3,..., really orthogonal? My impression was that you use powers of two to construct the Fourier transform... but it has been a very long time since I&#039;ve looked at the basic construction of the Fourier transform.</description>
		<content:encoded><![CDATA[<p>Is the series of trig functions where k=1,2,3,&#8230;, really orthogonal? My impression was that you use powers of two to construct the Fourier transform&#8230; but it has been a very long time since I&#8217;ve looked at the basic construction of the Fourier transform.</p>
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		<title>By: Matt Panico</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-321</link>
		<dc:creator>Matt Panico</dc:creator>
		<pubDate>Tue, 17 Apr 2012 06:31:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-321</guid>
		<description>I imagine it would be appropriate to use repeated fourier analysis on a stream of continuous data to represent changes over time. Is there a general rule about the length and sampling rate of time periods to perform this analysis on?</description>
		<content:encoded><![CDATA[<p>I imagine it would be appropriate to use repeated fourier analysis on a stream of continuous data to represent changes over time. Is there a general rule about the length and sampling rate of time periods to perform this analysis on?</p>
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		<title>By: Noah</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-320</link>
		<dc:creator>Noah</dc:creator>
		<pubDate>Tue, 17 Apr 2012 03:46:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-320</guid>
		<description>I don&#039;t really understand point 4 in the Fourier Analysis analysis. Can you explain the problem outlined within the first sentence of the point?</description>
		<content:encoded><![CDATA[<p>I don&#8217;t really understand point 4 in the Fourier Analysis analysis. Can you explain the problem outlined within the first sentence of the point?</p>
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		<title>By: Ben Dichter</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-319</link>
		<dc:creator>Ben Dichter</dc:creator>
		<pubDate>Tue, 17 Apr 2012 03:41:43 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-319</guid>
		<description>The Fourier analysis descriptions I have seen make the assumption that the signal is periodic and repeating, but you don&#039;t seem to make that assumption because you only look at the signal in the interval [0,1]. Does this have consequences or is it just a different way of looking at the same thing?</description>
		<content:encoded><![CDATA[<p>The Fourier analysis descriptions I have seen make the assumption that the signal is periodic and repeating, but you don&#8217;t seem to make that assumption because you only look at the signal in the interval [0,1]. Does this have consequences or is it just a different way of looking at the same thing?</p>
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		<title>By: Sharlene Flesher</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-318</link>
		<dc:creator>Sharlene Flesher</dc:creator>
		<pubDate>Tue, 17 Apr 2012 03:15:40 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-318</guid>
		<description>I don&#039;t understand how periodograms would be useful figures in stats, or why you&#039;d want to smooth them. Can you explain what they show in a more intuitive way?</description>
		<content:encoded><![CDATA[<p>I don&#8217;t understand how periodograms would be useful figures in stats, or why you&#8217;d want to smooth them. Can you explain what they show in a more intuitive way?</p>
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		<title>By: Amanda Markey</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-317</link>
		<dc:creator>Amanda Markey</dc:creator>
		<pubDate>Tue, 17 Apr 2012 02:07:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=123#comment-317</guid>
		<description>The text refers to detrending the series, &quot;removing [slow varying trends] from the data before performing spectral analysis&quot; (p. 527).  Do you actually remove data?  Why not include a parameter to allow for the trend?</description>
		<content:encoded><![CDATA[<p>The text refers to detrending the series, &#8220;removing [slow varying trends] from the data before performing spectral analysis&#8221; (p. 527).  Do you actually remove data?  Why not include a parameter to allow for the trend?</p>
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