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-rw-r--r--help/en_US/aryule.xml18
1 files changed, 9 insertions, 9 deletions
diff --git a/help/en_US/aryule.xml b/help/en_US/aryule.xml
index 7d706fd..6ad7b46 100644
--- a/help/en_US/aryule.xml
+++ b/help/en_US/aryule.xml
@@ -37,29 +37,29 @@
<listitem><para> vector of real or complex numbers, length &gt; 2</para></listitem></varlistentry>
<varlistentry><term>p:</term>
<listitem><para> positive integer value &lt; length(x) - 1</para></listitem></varlistentry>
- <varlistentry><term>a, v, k:</term>
- <listitem><para> Output variables</para></listitem></varlistentry>
+ <varlistentry><term>a:</term>
+ <listitem><para> gives the AR coefficients </para></listitem></varlistentry>
+ <varlistentry><term>v:</term>
+ <listitem><para> gives the variance of the white noise, </para></listitem></varlistentry>
+ <varlistentry><term>k:</term>
+ <listitem><para> gives the reflection coefficients to be used in the lattice filter</para></listitem></varlistentry>
</variablelist>
</refsection>
<refsection>
<title>Description</title>
<para>
-This is an Octave function.
- </para>
- <para>
This function fits an AR (p)-model with Yule-Walker estimates.
The first argument is the data vector which is to be estimated.
-Output variable a gives the AR coefficients, v gives the variance of the white noise and k gives the reflection coefficients to be used in the lattice filter.
</para>
</refsection>
<refsection>
<title>Examples</title>
<programlisting role="example"><![CDATA[
-aryule([1,2,3,4,5],2)
-ans =
-1. - 0.8140351 0.1192982
+x = [1,2,3,4,5] ;
+poles = 2 ;
+arburg(x,poles)
]]></programlisting>
</refsection>
</refentry>