1 files changed, 1 insertions, 49 deletions
diff --git a/help/en_US/arburg.xml b/help/en_US/arburg.xml
index 775d9c1..4cea095 100644
--- a/help/en_US/arburg.xml
+++ b/help/en_US/arburg.xml
@@ -17,55 +17,7 @@
 
   <refnamediv>
     <refname>arburg</refname>
-    <refpurpose>This function calculates coefficients of an autoregressive (AR) model of complex data.</refpurpose>
+    <refpurpose></refpurpose>
   </refnamediv>
 
-
-<refsynopsisdiv>
-   <title>Calling Sequence</title>
-   <synopsis>
-   a = arburg(x, poles)
-   a = arburg(x, poles, criterion)
-   [a, v] = arburg(...)
-   [a, v, k] = arburg(...)
-   </synopsis>
-</refsynopsisdiv>
-
-<refsection>
-   <title>Parameters</title>
-   <variablelist>
-   <varlistentry><term>x:</term>
-      <listitem><para> vector of real or complex numbers, of length &gt; 2</para></listitem></varlistentry>
-   <varlistentry><term>poles:</term>
-      <listitem><para> positive integer value &lt; length(x) - 2</para></listitem></varlistentry>
-   <varlistentry><term>criterion:</term>
-      <listitem><para> string value, takes in "AKICc", "KIC", "AICc", "AIC" and "FPE", default it not using a model-selection criterion</para></listitem></varlistentry>
-   <varlistentry><term>a:</term>
-      <listitem><para> list of autoregression coefficients.</para></listitem></varlistentry>
-   <varlistentry><term>v:</term>
-      <listitem><para> mean square of residual noise from the whitening operation of the Burg lattice filter</para></listitem></varlistentry>
-   <varlistentry><term>k:</term>
-      <listitem><para> reflection coefficients defining the lattice-filter embodiment of the model</para></listitem></varlistentry>
-   </variablelist>
-</refsection>
-
-<refsection>
-   <title>Description</title>
-   <para>
-This function calculates coefficients of an autoregressive (AR) model of complex data x using the whitening lattice-filter method of Burg.
-   </para>
-   <para>
-The first argument is the data sampled. The second argument is the number of poles in the model (or limit in case a criterion is supplied).
-The third parameter takes in the criterion to limit the number of poles. The acceptable values are "AIC", "AKICc", "KIC", "AICc" which are based on information theory.
-</para>
-</refsection>
-
-<refsection>
-   <title>Examples</title>
-   <programlisting role="example"><![CDATA[
-x = [1,2,3,4,5] ;
-poles = 2 ;
-arburg(x,poles)
-   ]]></programlisting>
-</refsection>
 </refentry>