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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="matlab:doc('ao/polyfit')">polyfit.m</a> overloads the polyfit() function of MATLAB for Analysis Objects.<br/>
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3 The script calls the following MATLAB functions:
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4 <ul>
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5 <li> polyfit.m </li>
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6 <li> polyval.m </li>
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7 </ul>
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8 <h2><a name="usage">Usage</a></h2>
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9 <div class="fragment"><pre>
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10 <span class="comment">% CALL: b = polyfit(a, pl)</span>
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11 <span class="comment">%</span>
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12 <span class="comment">% Parameters: 'N' - degree of polynomial to fit</span>
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13 <span class="comment">% 'coeffs' - (optional) coefficients</span>
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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>
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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/>
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17 Using the output of polyval.m the fitted data series is created and outputted as analysis object.
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18 </p>
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