blob: c7c3f27eff1bccb8240717626e3bb3b40eeee6c9 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
|
<html><head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>ac2poly</title>
<style type="text/css" media="all">
@import url("scilab_code.css");
@import url("xml_code.css");
@import url("c_code.css");
@import url("style.css");
</style>
</head>
<body>
<div class="manualnavbar">
<table width="100%"><tr>
<td width="30%">
<span class="previous"><a href="section_5118e822ecc2888aa80042108de4932e.html"><< FOSSEE Signal Processing Toolbox</a></span>
</td>
<td width="40%" class="center">
<span class="top"><a href="section_5118e822ecc2888aa80042108de4932e.html">FOSSEE Signal Processing Toolbox</a></span>
</td>
<td width="30%" class="next">
<span class="next"><a href="ac2rc.html">ac2rc >></a></span>
</td>
</tr></table>
<hr />
</div>
<span class="path"><a href="index.html">FOSSEE Signal Processing Toolbox</a> >> <a href="section_5118e822ecc2888aa80042108de4932e.html">FOSSEE Signal Processing Toolbox</a> > ac2poly</span>
<br /><br />
<div class="refnamediv"><h1 class="refname">ac2poly</h1>
<p class="refpurpose">Convert autocorrelation sequence to polynomial of prediction filter</p></div>
<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
<div class="synopsis"><pre><span class="default">a</span><span class="default"> = </span><span class="functionid">ac2poly</span><span class="default">(</span><span class="default">r</span><span class="default">)</span>
<span class="default">[</span><span class="default">a</span><span class="default">,</span><span class="default">e</span><span class="default">] = </span><span class="functionid">ac2poly</span><span class="default">(</span><span class="default">r</span><span class="default">)</span></pre></div></div>
<div class="refsection"><h3 class="title">Parameters</h3>
<dl><dt><span class="term">r:</span>
<dd><p class="para">Autocorrelation sequence to be represented with an FIR linear prediction filter</p></dd></dt>
<dt><span class="term">a:</span>
<dd><p class="para">Output polynomial representing the linear prediction filter e/(a(1) + a(2)z + a(3)z^2 .. a(N)z^N-1)</p></dd></dt>
<dt><span class="term">e:</span>
<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.</p>
<p class="para">Author
Parthe Pandit</p>
<p class="para"></p></div>
<div class="refsection"><h3 class="title">Bibliography</h3>
<p class="para">Kay, Steven M. Modern Spectral Estimation. Englewood Cliffs, NJ: Prentice-Hall, 1988.</p></div>
<br />
<div class="manualnavbar">
<table width="100%">
<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_5118e822ecc2888aa80042108de4932e.html"><< FOSSEE Signal Processing Toolbox</a></span>
</td>
<td width="40%" class="center">
<span class="top"><a href="section_5118e822ecc2888aa80042108de4932e.html">FOSSEE Signal Processing Toolbox</a></span>
</td>
<td width="30%" class="next">
<span class="next"><a href="ac2rc.html">ac2rc >></a></span>
</td>
</tr></table>
<hr />
</div>
</body>
</html>
|
