<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Prosig Noise &#38; Vibration Measurement Blog &#187; spikes</title>
	<atom:link href="http://blog.prosig.com/tag/spikes/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.prosig.com</link>
	<description>Telling you what you really need to know about noise &#38; vibration measurement</description>
	<lastBuildDate>Tue, 07 Sep 2010 09:56:27 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.0.1</generator>
		<item>
		<title>Interpolation Versus Resampling To Increase The Sample Rate</title>
		<link>http://blog.prosig.com/2009/06/22/interpolation-versus-resampling-to-increase-the-sample-rate/</link>
		<comments>http://blog.prosig.com/2009/06/22/interpolation-versus-resampling-to-increase-the-sample-rate/#comments</comments>
		<pubDate>Mon, 22 Jun 2009 14:12:21 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[decimate]]></category>
		<category><![CDATA[decimation]]></category>
		<category><![CDATA[interpolate]]></category>
		<category><![CDATA[interpolation]]></category>
		<category><![CDATA[Lagrange]]></category>
		<category><![CDATA[Nyquist]]></category>
		<category><![CDATA[resample]]></category>
		<category><![CDATA[sinc]]></category>
		<category><![CDATA[spikes]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/?p=194</guid>
		<description><![CDATA[<p>These are two different techniques aimed at different objectives. First consider a simple sinewave that has been sampled close to the Nyquist frequency (sample rate/2).</p>
<p></p>
<p>Visually this looks very pointy. We will examine it using a filter based interpolation and a classical curve fitting procedure to obtain a better representation.</p>
<p></p>
<p>As a second example we will look at a [...]]]></description>
		<wfw:commentRss>http://blog.prosig.com/2009/06/22/interpolation-versus-resampling-to-increase-the-sample-rate/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Cleaning Up Data</title>
		<link>http://blog.prosig.com/2003/09/22/cleaning-up-data/</link>
		<comments>http://blog.prosig.com/2003/09/22/cleaning-up-data/#comments</comments>
		<pubDate>Mon, 22 Sep 2003 14:17:08 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[de-spike]]></category>
		<category><![CDATA[despike]]></category>
		<category><![CDATA[filter]]></category>
		<category><![CDATA[spikes]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/2003/09/22/cleaning-up-data/</guid>
		<description><![CDATA[<p>When we have a very noisy signal with a large number of spikes    and signal bursts then if all else fails try Median Filtering. This is a technique    often used in cleaning up pictures. The operation is almost childishly simple    in concept but we will save the [...]]]></description>
		<wfw:commentRss>http://blog.prosig.com/2003/09/22/cleaning-up-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Data Smoothing : RC Filtering And Exponential Averaging</title>
		<link>http://blog.prosig.com/2003/04/28/data-smoothing-rc-filtering-and-exponential-averaging/</link>
		<comments>http://blog.prosig.com/2003/04/28/data-smoothing-rc-filtering-and-exponential-averaging/#comments</comments>
		<pubDate>Mon, 28 Apr 2003 15:18:11 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[filter]]></category>
		<category><![CDATA[smoothing]]></category>
		<category><![CDATA[spikes]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/2003/04/28/data-smoothing-rc-filtering-and-exponential-averaging/</guid>
		<description><![CDATA[<p>What are RC Filtering and Exponential Averaging and how do    they differ? The answer to the second part of the question is that they are    the same process! If one comes from an electronics background then RC Filtering    (or RC Smoothing) is the usual expression. On the [...]]]></description>
		<wfw:commentRss>http://blog.prosig.com/2003/04/28/data-smoothing-rc-filtering-and-exponential-averaging/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Smoothing Spectral Data</title>
		<link>http://blog.prosig.com/2002/07/15/smoothing-spectral-data/</link>
		<comments>http://blog.prosig.com/2002/07/15/smoothing-spectral-data/#comments</comments>
		<pubDate>Mon, 15 Jul 2002 16:23:56 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[de-spike]]></category>
		<category><![CDATA[despike]]></category>
		<category><![CDATA[smoothing]]></category>
		<category><![CDATA[spikes]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/2002/07/15/smoothing-spectral-data/</guid>
		<description><![CDATA[<p>Sometimes data has spikes which are clearly artefacts of the processing or are due to some other external source.  One is used to seeing these on time series but in some cases there are unrepresentative &#8220;spikes&#8221; in the frequency analysed data.  An example spectrum is shown below.</p>
<p></p>
<p>
Figure 1 Spectrum with False &#8220;spikes&#8221;</p>
<p align="justify">There are [...]]]></description>
		<wfw:commentRss>http://blog.prosig.com/2002/07/15/smoothing-spectral-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Don&#8217;t Let Spikes Spoil Your Data</title>
		<link>http://blog.prosig.com/2001/06/06/dont-let-spikes-spoil-your-data/</link>
		<comments>http://blog.prosig.com/2001/06/06/dont-let-spikes-spoil-your-data/#comments</comments>
		<pubDate>Wed, 06 Jun 2001 16:50:06 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[de-spike]]></category>
		<category><![CDATA[despike]]></category>
		<category><![CDATA[spikes]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/2001/06/06/dont-let-spikes-spoil-your-data/</guid>
		<description><![CDATA[<p>In many real-world applications it is impossible to avoid &#8220;spikes&#8221; or &#8220;dropouts&#8221; in 			data that we record. Many people assume that these only cause problems with their data 			if they become obvious. This is not always the case. Consider the following two time histories.</p>
<p></p>
<p class="wp-caption-text">Figure 1: Signal containing &#34;spikes&#34;</p>
<p class="wp-caption-text">Figure 2: Signal with &#34;spikes&#34; removed</p>
<p>To the [...]]]></description>
		<wfw:commentRss>http://blog.prosig.com/2001/06/06/dont-let-spikes-spoil-your-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Getting Rid Of Spikes</title>
		<link>http://blog.prosig.com/2001/06/06/getting-rid-of-spikes/</link>
		<comments>http://blog.prosig.com/2001/06/06/getting-rid-of-spikes/#comments</comments>
		<pubDate>Wed, 06 Jun 2001 07:38:46 +0000</pubDate>
		<dc:creator>Dr Colin Mercer</dc:creator>
				<category><![CDATA[applications]]></category>
		<category><![CDATA[aerospace]]></category>
		<category><![CDATA[de-spike]]></category>
		<category><![CDATA[despike]]></category>
		<category><![CDATA[flight test]]></category>
		<category><![CDATA[spikes]]></category>

		<guid isPermaLink="false">http://blog.prosig.com/2001/06/06/getting-rid-of-spikes/</guid>
		<description><![CDATA[<p>For various reasons data captured in the real world often contains spikes that will give 			erroneous results when analysed. DATS for Windows provides various ways of editing and 			removing these anomalies. Let us consider a real life case history.</p>
<p></p>
<p class="wp-caption-text">Fig. 1 : A sine wave with two obvious spikes before and after &#39;de-spiking&#39;</p>
<p>A large aerospace manufacturer [...]]]></description>
		<wfw:commentRss>http://blog.prosig.com/2001/06/06/getting-rid-of-spikes/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
