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Update Java code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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1 <p>
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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.
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3 </p>
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4 <p>
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5 One can now subtract the fitted time series from the original one - the target- and produce a new time series by calling
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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.
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7 </p>
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8 <h2><a name="example">An example:</a></h2>
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9 <div class="fragment"><pre>
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10 coeffsAO = ltpda_timedomainfit(target, ts1, ts2, ts3, ts4);
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12 %% Make linear combination
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13
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14 x12ns = ltpda_lincom(target, ts1, ts2, ts3, ts4, coeffsAO);
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15 </pre></div>
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16
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17 <p>
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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.
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19 </p>
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20
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21 The number of time or frequency series analysis objects is variable. </br> The first is always taken as target object.