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<span class="path" dir="ltr"><a href="index.html">FOSSEE_Communication_Systems_Toolbox</a> >> <a href="section_1f049b1e3111e3d1d538e7603f77f589.html">FOSSEE_Communication_Systems_Toolbox</a> > alignsignals</span>
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<div class="refnamediv"><h1 class="refname">alignsignals</h1>
<p class="refpurpose">This function aligns the two input signals.</p></div>
<div class="refsynopsisdiv"><h3 class="title">Syntax</h3>
<div class="synopsis"><pre><span class="default">[</span><span class="default">Xa</span> <span class="default">Ya</span><span class="default">] = </span><span class="default">ALIGNSIGNALS</span><span class="default">(</span><span class="default">X</span><span class="default">,</span><span class="default">Y</span><span class="default">)</span>
<span class="default">[</span><span class="default">Xa</span> <span class="default">Ya</span><span class="default">] = </span><span class="default">ALIGNSIGNALS</span><span class="default">(</span><span class="default">X</span><span class="default">,</span><span class="default">Y</span><span class="default">,</span><span class="default">MAXLAG</span><span class="default">)</span>
<span class="default">[</span><span class="default">Xa</span> <span class="default">Ya</span><span class="default">] = </span><span class="default">ALIGNSIGNALS</span><span class="default">(</span><span class="default">X</span><span class="default">,</span><span class="default">Y</span><span class="default">,</span><span class="default">MAXLAG</span><span class="default">,1)</span>
<span class="default">[</span><span class="default">Xa</span> <span class="default">Ya</span> <span class="default">D</span><span class="default">] = </span><span class="default">ALIGNSIGNALS</span><span class="default">(...)</span></pre></div></div>
<div class="refsection"><h3 class="title">Description</h3>
<p class="para">[Xa Ya] = ALIGNSIGNALS(X,Y) aligns the two vectors X and Y by estimating
the delay D between the two. If Y is delayed with respect to X, D is
positive , and X is delayed by D samples. If Y is advanced with respect
to X, D is negative, and Y is delayed by -D samples.</p>
<p class="para">[Xa Ya] = ALIGNSIGNALS(X,Y,MAXLAG) considers MAXLAG be the maximum correlation
window size which is used to calculate the estimated delay D between X and Y.
MAXLAG is an integer-valued scalar. By default, MAXLAG is equal to MAX(LX,LY)-1.
If MAXLAG is empty ([]),then default value is considered. If MAXLAG
is negative, it is replaced by its absolute value.</p>
<p class="para">[Xa Ya] = ALIGNSIGNALS(X,Y,MAXLAG,1) keeps the lengths of Xa
and Ya the same as those of X and Y, respectively.
Here, 1 implies truncation of the intermediate vectors.
Input argument 4 is 0 implies truncation_off (no truncation).
D is positive implies D zeros are pre-pended to X, and the last D samples of X are truncated.
D is negative implies -D zeros are pre-pended to Y, and the last -D samples
of Y are truncated. That means, when D>=Length(X), all samples of X are lost.
Similarly, when -D>=Length(Y), all samples of Y are lost.
Avoid assigning a specific value to MAXLAG when using the truncate=1 option, set MAXLAG to [].</p>
<p class="para">[Xa Ya D] = ALIGNSIGNALS(...) returns the estimated delay D.</p>
<p class="para"></p></div>
<div class="refsection"><h3 class="title">Examples</h3>
<div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">X</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">2</span> <span class="scilabnumber">3</span> <span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
<span class="scilabid">Y</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">1</span> <span class="scilabnumber">2</span> <span class="scilabnumber">3</span> <span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
<span class="scilabopenclose">[</span><span class="scilabid">Xa</span><span class="scilabdefault">,</span><span class="scilabid">Ya</span><span class="scilabopenclose">]</span> <span class="scilaboperator">=</span> <span class="scilabid">alignsignals</span><span class="scilabopenclose">(</span><span class="scilabid">X</span><span class="scilabdefault">,</span><span class="scilabid">Y</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
<div class="refsection"><h3 class="title">Authors</h3>
<ul class="itemizedlist"><li class="member">Pola Lakshmi Priyanka, IIT Bombay</li></ul></div>
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