<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.