From 3f916032cc0b2efdeafb838dd10e1141ead2cb27 Mon Sep 17 00:00:00 2001
From: bgtushar
Date: Thu, 9 Nov 2017 20:51:40 +0530
Subject: cceps, fht, idct1, idct2, idst1, sigmoid, xcov1

---
 help/en_US/scilab_en_US_help/ac2poly.html | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

(limited to 'help/en_US/scilab_en_US_help/ac2poly.html')

diff --git a/help/en_US/scilab_en_US_help/ac2poly.html b/help/en_US/scilab_en_US_help/ac2poly.html
index ead05e8..c64b948 100644
--- a/help/en_US/scilab_en_US_help/ac2poly.html
+++ b/help/en_US/scilab_en_US_help/ac2poly.html
@@ -12,11 +12,11 @@
     <div class="manualnavbar">
     <table width="100%"><tr>
       <td width="30%">
-    	<span class="previous"><a href="section_be19baaac84b122b8ad501d34462f5bf.html">&lt;&lt; FOSSEE Signal Processing Toolbox</a></span>
+    	<span class="previous"><a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">&lt;&lt; FOSSEE Signal Processing Toolbox</a></span>
 
       </td>
       <td width="40%" class="center">
-      	<span class="top"><a href="section_be19baaac84b122b8ad501d34462f5bf.html">FOSSEE Signal Processing Toolbox</a></span>
+      	<span class="top"><a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">FOSSEE Signal Processing Toolbox</a></span>
 
       </td>
       <td width="30%" class="next">
@@ -29,7 +29,7 @@
 
 
 
-    <span class="path"><a href="index.html">FOSSEE Signal Processing Toolbox</a> &gt;&gt; <a href="section_be19baaac84b122b8ad501d34462f5bf.html">FOSSEE Signal Processing Toolbox</a> &gt; ac2poly</span>
+    <span class="path"><a href="index.html">FOSSEE Signal Processing Toolbox</a> &gt;&gt; <a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">FOSSEE Signal Processing Toolbox</a> &gt; ac2poly</span>
 
     <br /><br />
     <div class="refnamediv"><h1 class="refname">ac2poly</h1>
@@ -49,8 +49,8 @@
       <dd><p class="para">Output scaling for the lienar prediction filter</p></dd></dt></dl></div>
 
 <div class="refsection"><h3 class="title">Description</h3>
-   <p class="para">Function ac2poly() finds the best fit polynomial for FIR linear prediction filter a, corresponding to the autocorrelation sequence r. a is the same length as r, and is normalized with the first element. So a(1) = 1.
-Author:
+   <p class="para">Function ac2poly() finds the best fit polynomial for FIR linear prediction filter a, corresponding to the autocorrelation sequence r. a is the same length as r, and is normalized with the first element. So a(1) = 1.</p>
+   <p class="para">Author
 Parthe Pandit</p>
    <p class="para"></p></div>
 
@@ -63,11 +63,11 @@ Parthe Pandit</p>
     <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
 <tr>
       <td width="30%">
-    	<span class="previous"><a href="section_be19baaac84b122b8ad501d34462f5bf.html">&lt;&lt; FOSSEE Signal Processing Toolbox</a></span>
+    	<span class="previous"><a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">&lt;&lt; FOSSEE Signal Processing Toolbox</a></span>
 
       </td>
       <td width="40%" class="center">
-      	<span class="top"><a href="section_be19baaac84b122b8ad501d34462f5bf.html">FOSSEE Signal Processing Toolbox</a></span>
+      	<span class="top"><a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">FOSSEE Signal Processing Toolbox</a></span>
 
       </td>
       <td width="30%" class="next">
-- 
cgit