EMA_f Class Reference

#include <AH/Filters/EMA.hpp>

Detailed Description

A class for single-pole infinite impulse response filters or exponential moving average filters.

This version uses floating point maths.

Difference equation: $y[n]=\alpha ·x[n]+(1-\alpha )·y[n-1]$ $x$ is the input sequence, and $y$ is the output sequence.

[An in-depth explanation of the EMA filter] (https://tttapa.github.io/Pages/Mathematics/Systems-and-Control-Theory/Digital-filters/Exponential%20Moving%20Average/)

Definition at line 153 of file EMA.hpp.

Collaboration diagram for EMA_f:

Public Member Functions
	EMA_f (float pole)
	Create an exponential moving average filter with a pole at the given location.
float	filter (float value)
	Filter the input: Given $x[n]$, calculate $y[n]$.
float	operator() (float value)
	Filter the input: Given $x[n]$, calculate $y[n]$.

Private Attributes
float	alpha
float	filtered = 0

Constructor & Destructor Documentation

EMA_f()

EMA_f ( float pole )

inline

Create an exponential moving average filter with a pole at the given location.

Parameters

pole	The pole of the filter ( $1-\alpha$). Should be a value in the range $[0,1)$. Zero means no filtering, and closer to one means more filtering.

Definition at line 165 of file EMA.hpp.

Member Function Documentation

filter()

float filter ( float value )

inline

Filter the input: Given $x[n]$, calculate $y[n]$.

Parameters

value

The new raw input value.

Returns

The new filtered output value.

Definition at line 174 of file EMA.hpp.

operator()()

float operator() ( float value )

inline

Filter the input: Given $x[n]$, calculate $y[n]$.

Parameters

value

The new raw input value.

Returns

The new filtered output value.

Definition at line 180 of file EMA.hpp.

Member Data Documentation

alpha

float alpha

private

Definition at line 183 of file EMA.hpp.

filtered

float filtered = 0

private

Definition at line 184 of file EMA.hpp.

---

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

• EMA.hpp