comparison m-toolbox/html_help/help/ug/sigproc_timedomainfit_content.html @ 0:f0afece42f48

Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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1 <p>
2 <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.
3 </p>
4 <p>
5 One can now subtract the fitted time series from the original one - the target- and produce a new time series by calling
6 <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.
7 </p>
8 <h2><a name="example">An example:</a></h2>
9 <div class="fragment"><pre>
10 coeffsAO = ltpda_timedomainfit(target, ts1, ts2, ts3, ts4);
11
12 %% Make linear combination
13
14 x12ns = ltpda_lincom(target, ts1, ts2, ts3, ts4, coeffsAO);
15 </pre></div>
16
17 <p>
18 <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.
19 </p>
20
21 The number of time or frequency series analysis objects is variable. </br> The first is always taken as target object.