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	<title>Prosig Noise &#38; Vibration Measurement Blog &#187; Hanning</title>
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	<link>http://blog.prosig.com</link>
	<description>Telling you what you really need to know about noise &#38; vibration measurement</description>
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		<title>Amplitude And Energy Correction &#8211; A Brief Summary</title>
		<link>http://blog.prosig.com/2009/09/01/amplitude-and-energy-correction-a-brief-summary/</link>
		<comments>http://blog.prosig.com/2009/09/01/amplitude-and-energy-correction-a-brief-summary/#comments</comments>
		<pubDate>Tue, 01 Sep 2009 10:44:01 +0000</pubDate>
		<dc:creator>John Mathey</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[amplitude]]></category>
		<category><![CDATA[ENBW]]></category>
		<category><![CDATA[FFT]]></category>
		<category><![CDATA[Fourier]]></category>
		<category><![CDATA[Hanning]]></category>
		<category><![CDATA[rms]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/?p=266</guid>
		<description><![CDATA[<p>Amplitude and energy correction has been and is a continuing point of confusion for many people calculating spectra from time domain signals using Fourier transform methods. The first thing to say, the information contained in data presented as amplitude and energy corrected spectra is equivalent.  The only difference is the scaling of the numbers calculated.</p>
<p></p>
Amplitude [...]]]></description>
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		<slash:comments>6</slash:comments>
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		<title>Data Windows : What, why and when?</title>
		<link>http://blog.prosig.com/2009/07/20/data-windows-what-why-and-when/</link>
		<comments>http://blog.prosig.com/2009/07/20/data-windows-what-why-and-when/#comments</comments>
		<pubDate>Mon, 20 Jul 2009 08:23:53 +0000</pubDate>
		<dc:creator>John Mathey</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[ENBW]]></category>
		<category><![CDATA[FFT]]></category>
		<category><![CDATA[Fourier]]></category>
		<category><![CDATA[Hanning]]></category>
		<category><![CDATA[Von Hann]]></category>
		<category><![CDATA[window]]></category>
		<category><![CDATA[windowing]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/?p=219</guid>
		<description><![CDATA[<p>Before we discuss the use of data windows, we should first remind ourselves of three basic properties of the FFT (Fast Fourier Transform) process.</p>

First, energy information in signal must be preserved during transformation. That is, the energy measured on time signal must equal the energy measured on the frequency representation of that signal.
Second, an FFT converts [...]]]></description>
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		<slash:comments>4</slash:comments>
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		<item>
		<title>Orders v Time &#8211; Comparing Overall Levels</title>
		<link>http://blog.prosig.com/2007/10/23/orders-v-time-comparing-overall-levels/</link>
		<comments>http://blog.prosig.com/2007/10/23/orders-v-time-comparing-overall-levels/#comments</comments>
		<pubDate>Tue, 23 Oct 2007 13:33:06 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[Hanning]]></category>
		<category><![CDATA[hopping FFT]]></category>
		<category><![CDATA[orders]]></category>
		<category><![CDATA[rundown]]></category>
		<category><![CDATA[runup]]></category>
		<category><![CDATA[short time FFT]]></category>
		<category><![CDATA[waterfall]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/2007/10/23/orders-v-time-comparing-overall-levels/</guid>
		<description><![CDATA[<p>By combining a speed signal with a data signal and using the Short Time FFT algorithm (Hopping FFT), it is possible to extract order data directly as a function of time (Orders from Hopping FFT) rather than as a function of speed (Waterfall). This is very useful when analyzing a complete operational cycle which includes run [...]]]></description>
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		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Average Waterfalls Or Average Orders?</title>
		<link>http://blog.prosig.com/2005/06/14/average-waterfalls-or-average-orders/</link>
		<comments>http://blog.prosig.com/2005/06/14/average-waterfalls-or-average-orders/#comments</comments>
		<pubDate>Tue, 14 Jun 2005 20:51:52 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[FFT]]></category>
		<category><![CDATA[Hanning]]></category>
		<category><![CDATA[orders]]></category>
		<category><![CDATA[waterfall]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/2005/06/14/average-waterfalls-or-average-orders/</guid>
		<description><![CDATA[<p>One would expect that averaging waterfalls and               then extracting orders would give the same result as extracting               orders from individual waterfalls and then averaging them. This   [...]]]></description>
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		<slash:comments>0</slash:comments>
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