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		<title>タグ“スペクトル解析”の公開資料</title>
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		<item>
			<title><![CDATA[Spectrum Analysis]]></title>
			<link><![CDATA[https://www.happycampus.co.jp/docs/983431441301@hc05/12355/]]></link>
			<author><![CDATA[ by ats0307]]></author>
			<category><![CDATA[ats0307の資料]]></category>
			<pubDate>Fri, 29 Dec 2006 23:23:55 +0900</pubDate>
			<guid><![CDATA[https://www.happycampus.co.jp/docs/983431441301@hc05/12355/]]></guid>
			<description><![CDATA[<a href="https://www.happycampus.co.jp/docs/983431441301@hc05/12355/" target="_blank"><img src="/docs/983431441301@hc05/12355/thmb.jpg?s=s&r=1167402235&t=n" border="0"></a><br /><br />Spectrum Analysis
1 Population Spectrum
A random variable Yt, which follows weak stationary process, can be represented [120]<br />Spectrum Analysis
1 Population Spectrum
A random variable Yt, which follows weak stationary process, can be represented as a weighted sum of
cos(!t) and sin(!t), letting! be a certain frequency. The form of this represantation is
Yt = +
Z 
0
(!)cos(!t)d! +
Z 
0
(!)sin(!t)d!
The basic idea of spectral analysis is to measure how important diﬀerent frequencies are to explain the
changing of Yt. All of the weak stationary process has the two form of representation; frequency domain
represantation an..]]></description>

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