org.placelab.particlefilter
Class Gaussian

java.lang.Object
  org.placelab.particlefilter.Gaussian

Direct Known Subclasses:

MeanEstimateForFixedVarianceGaussian

public class Gaussian

extends java.lang.Object

This is a one-dimensional gaussian. If you want to extend it to multiple dimensions, you'll have to change the 'double's representing position to some n-dimensional position representation, although a static bivariate gaussian computation is included.

Constructor Summary

Gaussian(double mean, double sigma)

Gaussian(Gaussian g)

Method Summary

static double	bivariate(double x, double y, double mean_x, double mean_y, double sd_x, double sd_y, double rho) Compute the bivariate Gaussian distribution function value.
double	drawSample()
double	drawSample(java.util.Random randomizer)
static Gaussian	fromString(java.lang.String s)
double	getHeightAt(double p)
double	getMean()
double	getSigma()
static void	main(java.lang.String[] args)
void	multiplyBy(Gaussian other)
void	setMean(double m)
void	setSigma(double s)
void	smoothBy(double otherSigma)
void	smoothBy(Gaussian other)
java.lang.String	toString()
static double	univariate(double p, double mean, double sigma) Compute the Gaussian distribution function value.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

Gaussian

public Gaussian(double mean,
                double sigma)

Gaussian

public Gaussian(Gaussian g)

Method Detail

getHeightAt

public double getHeightAt(double p)

univariate

public static double univariate(double p,
                                double mean,
                                double sigma)

Compute the Gaussian distribution function value.

See Also:

bivariate(double,double,double,double,double,double,double)

bivariate

public static double bivariate(double x,
                               double y,
                               double mean_x,
                               double mean_y,
                               double sd_x,
                               double sd_y,
                               double rho)

Compute the bivariate Gaussian distribution function value.

Parameters:

rho - The correlation coefficient [-1...1].

See Also:

univariate(double,double,double)

drawSample

public double drawSample()

drawSample

public double drawSample(java.util.Random randomizer)

smoothBy

public void smoothBy(Gaussian other)

smoothBy

public void smoothBy(double otherSigma)

multiplyBy

public void multiplyBy(Gaussian other)

getMean

public double getMean()

getSigma

public double getSigma()

setMean

public void setMean(double m)

setSigma

public void setSigma(double s)

toString

public java.lang.String toString()

fromString

public static Gaussian fromString(java.lang.String s)

main

public static void main(java.lang.String[] args)