FilterDoubleExponentialSmoothing Class Reference

FilterDoubleExponentialSmoothing provides an weighted running average filter More...

#include <Filter.h>

Inheritance diagram for FilterDoubleExponentialSmoothing:

Public Member Functions
	FilterDoubleExponentialSmoothing (double _alpha=0.5, double _gamma=1.0)
void	setGamma (double _gamma)
double	getGamma ()
double	operator= (double _value)
virtual double	next (double y)
	Update the value. All inherited classes need to update value in next().
Public Member Functions inherited from FilterRunningAverage
	FilterRunningAverage (double _alpha=0.5)
void	setAlpha (double _alpha)
double	getAlpha ()
double	operator= (double _value)
virtual void	reset ()
	Reset the filter state.
Public Member Functions inherited from Filter
	Filter ()
	Constructor.
double	get () const
	Get the latest value.
	operator double ()
	Get the latest value.

Protected Attributes
double	gamma
double	slope
Protected Attributes inherited from FilterRunningAverage
double	alpha
bool	breset
Protected Attributes inherited from Filter
double	value

Detailed Description

FilterDoubleExponentialSmoothing provides an weighted running average filter

The FilterDoubleExponentialSmoothing calculates a simple running average for both the average and slope using the weight values alpha and gamma.

value = ((1.0-alpha) * (value + slope)) + (alpha * (double)y);
slope = ((1.0-gamma) * (slope)) + (gamma * (value - value_prev));

If the weight values (alpha , gamma) are larger (near 1.0) the formulas react faster for changes and if they are near 0.0 then the reaction is slower. The weight values alpha and gamma may be set in the constructor or with setAlpha() and setGamma() .

Definition at line 248 of file Filter.h.

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The documentation for this class was generated from the following file:

• Filter.h