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+ − 1 <p>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 2 <a href="matlab:doc('ao/polyfit')">polyfit.m</a> overloads the polyfit() function of MATLAB for Analysis Objects.<br/>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 3 The script calls the following MATLAB functions:
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 4 <ul>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 5 <li> polyfit.m </li>
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+ − 6 <li> polyval.m </li>
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+ − 7 </ul>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 8 <h2><a name="usage">Usage</a></h2>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 9 <div class="fragment"><pre>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 10 <span class="comment">% CALL: b = polyfit(a, pl)</span>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 11 <span class="comment">%</span>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 12 <span class="comment">% Parameters: 'N' - degree of polynomial to fit</span>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 13 <span class="comment">% 'coeffs' - (optional) coefficients</span>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 14 <span class="comment">% formed e.g. by [p,s] = polyfit(x,y,N);</span>
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+ − 15 </pre></div>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 16 The MATLAB function polyfit.m finds the coefficients of the polynomial p(x) of degree N that fits the vector 'x' to the vector 'y', in a least squares sense.<br/> After this in the script <a href="matlab:doc('ao/polyfit')">polyfit.m</a> the function polyval.m is called, which evaluates the polynomial of order 'N' according to these coefficients. <br/>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 17 Using the output of polyval.m the fitted data series is created and outputted as analysis object.
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 18 </p>
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 19