Why Gemfury?
Push, build, and install
RubyGems
npm packages
Python packages
Maven artifacts
PHP packages
Go Modules
Debian packages
RPM packages
NuGet packages
Repository URL to install this package:
|
Version:
4.4.5.dfsg-3ubuntu2 ▾
|
<HTML>
<HEAD>
<TITLE>Savitzky-Golay smoothing</TITLE>
</HEAD>
<BODY bgcolor="#FFFFFF" fgcolor="#000000">
<P><font size="+3" color="green"><B>Savitzky-Golay smoothing</B></font></P>
<P>
<TABLE border="1" cols="2" frame="box" rules="all" width="572">
<TR>
<TD width="15%" valign="top"><B>Syntax</B>:</TD>
<TD width="85%"><CODE>
ys = SAVGOL(n,m,y)</CODE>
</TD></TR>
</table></p>
<p>
The <CODE>SAVGOL</CODE> function calculates a smooth curve through
the data contained in vector <CODE>y</CODE>, the dependent variable, using
the Savitzky-Golay smoothing filter method. The order of the filter is given in scalar
<CODE>n</CODE>, which currently can only be <code>2</code> or
<code>4</code>. The filter width is given in scalar <CODE>m</CODE>.
These filters preserve the area under the data, the zero<sup>th</sup> moment, but also the
higher moments.</p>
<p>
There is no input independent variable, as the data is assumed to be equally spaced.</p>
<p>
As a rough guideline, best results are obtained when the filter width of the order <code>4</code>
Savitzky-Golay filter is between one and two times the full width half maximum (FWHM) of
desired features in the data.</p>
<p>
For more information on Savitzky-Golay filters, see:<br />
<b>Computers in Physics</b>, volume 4, number 6, November/December 1990, pages 669–672.</p>
<p>
<a href="savgolS01.htm"><font size="+1" color="olive">Method</font></a><br />
</BODY>
</HTML>