algorithmlp.html,v

包含了模式识别中常用的一些分类器设计算法

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<A NAME="AlgorithmLP()"><!-- --></A><H3>
AlgorithmLP</H3>
<PRE>
public <B>AlgorithmLP</B>()</PRE>
<DL>
</DL>

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<B>Method Detail</B></FONT></TH>
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<A NAME="initialize()"><!-- --></A><H3>
initialize</H3>
<PRE>
public boolean <B>initialize</B>()</PRE>
<DL>
<DD>Implements the initialize() method in the base class. Initializes
 member data and prepares for execution of first step. This method
 "resets" the algorithm.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="Algorithm.html#initialize()">initialize</A></CODE> in class <CODE><A HREF="Algorithm.html" title="class in &lt;Unnamed&gt;">Algorithm</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>returns true if sets of data are valid</DL>
</DD>
</DL>
<HR>

<A NAME="checkdata_LP(java.util.Vector)"><!-- --></A><H3>
checkdata_LP</H3>
<PRE>
public boolean <B>checkdata_LP</B>(java.util.Vector&nbsp;lp)</PRE>
<DL>
<DD>Validates the class entered by user for Linear Prediction
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>lp</CODE> - 
<DT><B>Returns:</B><DD>true if data is Vector lp is valid. It is invalid
           if the size of lp is 1 or any element is larger than the
           the previous element</DL>
</DD>
</DL>
<HR>

<A NAME="run()"><!-- --></A><H3>
run</H3>
<PRE>
public void <B>run</B>()</PRE>
<DL>
<DD>Implementation of the run function from the Runnable interface.
 Determines what the current step is and calls the appropriate method.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE>run</CODE> in interface <CODE>java.lang.Runnable</CODE><DT><B>Specified by:</B><DD><CODE><A HREF="Algorithm.html#run()">run</A></CODE> in class <CODE><A HREF="Algorithm.html" title="class in &lt;Unnamed&gt;">Algorithm</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="interpol(java.util.Vector, java.util.Vector)"><!-- --></A><H3>
interpol</H3>
<PRE>
public void <B>interpol</B>(java.util.Vector&lt;<A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&gt;&nbsp;v,
                     java.util.Vector&lt;<A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&gt;&nbsp;iset)</PRE>
<DL>
<DD>Calculates the interpolated points for the data inputs
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - input data points<DD><CODE>iset</CODE> - interpolated data points</DL>
</DD>
</DL>
<HR>

<A NAME="spline(double[], double[], double[], int)"><!-- --></A><H3>
spline</H3>
<PRE>
public void <B>spline</B>(double[]&nbsp;x,
                   double[]&nbsp;y,
                   double[]&nbsp;y2,
                   int&nbsp;size)</PRE>
<DL>
<DD>Actually interpolates the points
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>x</CODE> - array containing the x coordinates of datapoints<DD><CODE>y</CODE> - array containing the y coordinates of datapoints<DD><CODE>y2</CODE> - array containing the interpolated y coordinates<DD><CODE>size</CODE> - the size of the array to be interpolated</DL>
</DD>
</DL>
<HR>

<A NAME="splint(MyPoint, MyPoint, MyPoint, double[], int)"><!-- --></A><H3>
splint</H3>
<PRE>
public void <B>splint</B>(<A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&nbsp;u1,
                   <A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&nbsp;u2,
                   <A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&nbsp;r,
                   double[]&nbsp;y2,
                   int&nbsp;i)</PRE>
<DL>
<DD>Interpolates for a point between the two known points
 using Cubic Interpolation
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>u1</CODE> - start point for the interpolation<DD><CODE>u2</CODE> - end point for the interpolation<DD><CODE>r</CODE> - returning point, basically the interpolated point<DD><CODE>y2</CODE> - array used for reassigning of r<DD><CODE>i</CODE> - the sample number</DL>
</DD>
</DL>
<HR>

<A NAME="mean(java.util.Vector, java.util.Vector)"><!-- --></A><H3>
mean</H3>
<PRE>
public double <B>mean</B>(java.util.Vector&lt;<A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&gt;&nbsp;v,
                   java.util.Vector&lt;<A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&gt;&nbsp;mv)</PRE>
<DL>
<DD>Calculates the mean and the zero-mean data points
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - orginal datapoints<DD><CODE>mv</CODE> - zero mean datapoints
<DT><B>Returns:</B><DD>The average in a double</DL>
</DD>
</DL>
<HR>

<A NAME="autoCorrelation()"><!-- --></A><H3>
autoCorrelation</H3>
<PRE>
public void <B>autoCorrelation</B>()</PRE>
<DL>
<DD>Computes the autocorrelation coeffient from the data sets
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="autocorrelate(java.util.Vector, double[])"><!-- --></A><H3>
autocorrelate</H3>
<PRE>
public void <B>autocorrelate</B>(java.util.Vector&nbsp;v,
                          double[]&nbsp;autoCoeff_co)</PRE>
<DL>
<DD>Actaully computes the autocorrelation coefficients
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - Vector of datapoints<DD><CODE>autoCoeff_co</CODE> - array of autocorrelation coefficients</DL>
</DD>
</DL>
<HR>

<A NAME="lpcCoefficient()"><!-- --></A><H3>
lpcCoefficient</H3>
<PRE>
public void <B>lpcCoefficient</B>()</PRE>
<DL>
<DD>Computes the Linear Prediction coefficient from the data sets
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="calculate_lpc(double[], double[], double[])"><!-- --></A><H3>
calculate_lpc</H3>
<PRE>
public double <B>calculate_lpc</B>(double[]&nbsp;auto_coeff,
                            double[]&nbsp;lpc,
                            double[]&nbsp;rc_reg)</PRE>
<DL>
<DD>Actually calculate the LP coefficient and the Residual Error 
 Energy, and Reflection Coefficients
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>auto_coeff</CODE> - array of auto correlation coefficients<DD><CODE>lpc</CODE> - array of linear prediction coefficients<DD><CODE>rc_reg</CODE> - array of reflection coefficients
<DT><B>Returns:</B><DD>residual error energy in a double</DL>
</DD>
</DL>
<HR>

<A NAME="final_estimate()"><!-- --></A><H3>
final_estimate</H3>
<PRE>
public void <B>final_estimate</B>()</PRE>
<DL>
<DD>Calculates the estimated points for the data inputs
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="estimate(java.util.Vector, java.util.Vector, double, double[])"><!-- --></A><H3>
estimate</H3>
<PRE>
public void <B>estimate</B>(java.util.Vector&lt;<A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&gt;&nbsp;iset,
                     java.util.Vector&lt;<A HREF="MyPoint.html" title="class in &lt;Unnamed&gt;">MyPoint</A>&gt;&nbsp;y_estimate,
                     double&nbsp;avg,
                     double[]&nbsp;final_lpc)</PRE>
<DL>
<DD>Estimates the amplitude based on the LP coeficients.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>iset</CODE> - interpolated data points<DD><CODE>y_estimate</CODE> - predicted final signal data points<DD><CODE>avg</CODE> - mean of the original datapoints given<DD><CODE>final_lpc</CODE> - array of final linear prediction coefficients</DL>
</DD>
</DL>
<HR>

<A NAME="actual_error(java.util.Vector, java.util.Vector)"><!-- --></A><H3>
actual_error</H3>
<PRE>
public double <B>actual_error</B>(java.util.Vector&nbsp;y_estimate,
                           java.util.Vector&nbsp;iset)</PRE>
<DL>
<DD>Compute the actual error from the given data points and the estimated
 values.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>y_estimate</CODE> - datapoints of the estimated datapoints<DD><CODE>iset</CODE> - original datapoints
<DT><B>Returns:</B><DD>actual error energy in a double</DL>
</DD>
</DL>
<HR>

<A NAME="step2_display()"><!-- --></A><H3>
step2_display</H3>
<PRE>
public void <B>step2_display</B>()</PRE>
<DL>
<DD>Displays LP order, Error Energy and Reflection Coefficients
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="display_result(double[], double[], double[], double, double, int, int)"><!-- --></A><H3>
display_result</H3>
<PRE>
public void <B>display_result</B>(double[]&nbsp;auto_coeff,
                           double[]&nbsp;refCoef,
                           double[]&nbsp;final_lpc,
                           double&nbsp;est_err,
                           double&nbsp;act_err,
                           int&nbsp;index,
                           int&nbsp;length)</PRE>
<DL>
<DD>Display the results in the process box
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>auto_coeff</CODE> - Auto Correlation Coefficients<DD><CODE>refCoef</CODE> - Refelction Coefficient<DD><CODE>final_lpc</CODE> - Linear Prediction Coefficients<DD><CODE>est_err</CODE> - Estimated Error<DD><CODE>act_err</CODE> - Actual Error<DD><CODE>length</CODE> - Length of the data points</DL>
</DD>
</DL>
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