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<?xml version="1.0" encoding="UTF-8"?>
<!--
*
* This help file was generated from medfilt1.sci using help_from_sci().
*
-->
<refentry version="5.0-subset Scilab" xml:id="medfilt1" xml:lang="en"
xmlns="http://docbook.org/ns/docbook"
xmlns:xlink="http://www.w3.org/1999/xlink"
xmlns:svg="http://www.w3.org/2000/svg"
xmlns:ns3="http://www.w3.org/1999/xhtml"
xmlns:mml="http://www.w3.org/1998/Math/MathML"
xmlns:scilab="http://www.scilab.org"
xmlns:db="http://docbook.org/ns/docbook">
<refnamediv>
<refname>medfilt1</refname>
<refpurpose>1D median filtering</refpurpose>
</refnamediv>
<refsynopsisdiv>
<title>Calling Sequence</title>
<synopsis>
</synopsis>
</refsynopsisdiv>
<refsection>
<title>Description</title>
<para>
y = medfilt1(x)
Applies a 3rd order 1-dimensional median filter to input x along the
first non-zero dimension. The function appropriately pads the signal
with zeros at the endings. For a segment, a median is calculated as
the middle value (average of two middle values) for odd number
number (even number) of data points.
y = medfilt1(x,n)
Applies a nth order 1-dimensional median filter.
y = medfilt1(x,n,dim)
Applies the median filter along the n-th dimension
y = medfilt1(__, nanflag, padding)
nanflag specifies how NaN values are treated. padding specifies the
type of filtering to be performed at the signal edges.
</para>
<para>
</para>
</refsection>
<refsection>
<title>Parameters</title>
<variablelist>
<varlistentry><term>x:</term>
<listitem><para> int | double</para></listitem></varlistentry>
<varlistentry><term>n:</term>
<listitem><para> positive integer scalar</para></listitem></varlistentry>
<varlistentry><term>dim:</term>
<listitem><para> positive integer scalar</para></listitem></varlistentry>
<varlistentry><term>nanflag:</term>
<listitem><para> 'includenan' (default) | 'omitnan'</para></listitem></varlistentry>
<varlistentry><term>* includenan:</term>
<listitem><para> Filtering such that the median of any segment</para></listitem></varlistentry>
<varlistentry><term>* omitnan:</term>
<listitem><para> Filtering with NaNs omitted in each segment. If a segment</para></listitem></varlistentry>
<varlistentry><term>y:</term>
<listitem><para> int | double</para></listitem></varlistentry>
<varlistentry><term>Examples :</term>
<listitem><para> Noise supression using 10th order (n =10) median filtering</para></listitem></varlistentry>
<varlistentry><term>t = 0:</term>
<listitem><para>1/fs:1;</para></listitem></varlistentry>
<varlistentry><term>Output :</term>
<listitem><para> </para></listitem></varlistentry>
</variablelist>
</refsection>
<refsection>
<title>See also</title>
<simplelist type="inline">
<member><link linkend="filter">| hampel | median | sgolayfilt</link></member>
</simplelist>
</refsection>
<refsection>
<title>Authors</title>
<simplelist type="vert">
<member>Ayush Baid</member>
</simplelist>
</refsection>
</refentry>
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