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+++ b/m-toolbox/html_help/help/ug/sigproc_timedomainfit_content.html	Wed Nov 23 19:22:13 2011 +0100
@@ -0,0 +1,21 @@
+<p>
+	<a href="m/sigproc/time_domain/ltpda_timedomainfit.html">ltpda_timedomainfit.m</a> uses the MATLAB function <tt>lscov.m</tt> to fit a set of time-series AOs to a target time-series AO. It gives back a set of fitting coefficients. 
+	</p>
+	<p>
+	One can now subtract the fitted time series from the original one - the target- and produce a new time series by calling 
+	<a href="m/math/ltpda_lincom.html">ltpda_lincom.m</a> with the calculated coefficients. This function does a linear combination of the inputted coefficients and analysis objects and subtracts the result from the target analysis object, which has to be the first input parameter.
+</p>
+	<h2><a name="example">An example:</a></h2>
+	<div class="fragment"><pre> 
+	coeffsAO = ltpda_timedomainfit(target, ts1, ts2, ts3, ts4);
+
+	%% Make linear combination 
+
+	x12ns = ltpda_lincom(target, ts1, ts2, ts3, ts4, coeffsAO);
+	</pre></div>
+
+<p>
+<tt>x12ns</tt>  represents the noise subtracted target analysis object. With noise here the fitted time series is meant. That is the linear combination of the coefficients <tt>coeffsAO</tt> and the time series objects ts1 to ts4.
+</p>
+
+	The number of time or frequency series analysis objects is variable. </br> The first is always taken as target object.