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Gaussian.h
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Gaussian.h
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/*
Gaussian.h - An Gaussian object
This class was made to make it easy to understand and use
Gaussians in real life applications.
For instructions, go to https://github.com/ivanseidel/Gaussian
Created by Ivan Seidel Gomes, July, 2013.
Released into the public domain.
*/
#ifndef Gaussian_h
#define Gaussian_h
#include "math.h"
#include "Arduino.h"
#define MAX_VARIANCE 2147483600
class Gaussian
{
protected:
/*
Return the result of the sum of a gaussian
with _mean and _variance and This gaussian,
in a NEW object;
*/
virtual Gaussian sum(double _mean, double _variance){
double nMean = (variance * _mean + _variance * mean) / (_variance + variance);
double nVariance = 1.0 / (1.0/variance + 1.0/_variance);
return Gaussian(nMean, nVariance);
}
/*
Return the result of the sum of _gaus and This
gaussian, in a NEW object;
*/
virtual Gaussian sum(Gaussian _gaus){
return sum(_gaus.mean, _gaus.variance);
}
public:
/*
Leave it public, to make it easier
*/
double mean, variance;
/*
Constructor method
Default variance is MAC_VARIANCE
*/
Gaussian(double _mean = 0.0, double _variance = MAX_VARIANCE){
mean = _mean;
variance = _variance;
}
/*
Set the mean to _val
*/
virtual Gaussian setMean(double _val){
mean = _val;
return *this;
}
/*
Move the mean by _val
*/
virtual Gaussian move(double _val){
mean += _val;
return *this;
}
/*
Increase the variance by _val
*/
virtual Gaussian vary(double _val){
variance += _val;
return *this;
}
/*
Increase the variance by _val
*/
virtual Gaussian setVariance(double _val){
variance = _val;
return *this;
}
/*
Copies the same mean and variance to the current object
*/
virtual void operator=(Gaussian _gaus){
mean = _gaus.mean;
variance = _gaus.variance;
}
/*
Overrides the + operator to be able to sum with gaussians like:
Gaussian b = Gaussian(10, 20);
Gaussian a = b + Gaussian(1,10);
*/
virtual Gaussian operator+(Gaussian _gaus){
return sum(_gaus);
}
/*
Overrides the += operator to be able to sum with gaussians like:
Gaussian b = Gaussian(10, 20);
Gaussian a += b;
*/
virtual void operator+=(Gaussian _gaus){
*this = sum(_gaus);
}
/*
Randomize a variable with Gaussian distribuition,
using it's mean and variance
*/
virtual double random(){
double R1, R2;
R1 = ::random(MAX_VARIANCE)/(double)MAX_VARIANCE;
R2 = ::random(MAX_VARIANCE)/(double)MAX_VARIANCE;
return mean + variance * cos( 2 * M_PI * R1) * sqrt(-log(R2));
}
virtual double plot(double x){
static const float inv_sqrt_2pi = 0.3989422804014327;
double sigma = sqrt(variance);
double a = (x - mean) / sigma;
return inv_sqrt_2pi / sigma * exp(-0.5f * a * a);
}
};
#endif