A class for single-pole infinite impulse response filters or exponential moving average filters.
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#include <AH/Filters/EMA.hpp>
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| | EMA_f (float pole) |
| | Create an exponential moving average filter with a pole at the given location. More...
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| float | filter (float value) |
| | Filter the input: Given \( x[n] \), calculate \( y[n] \). More...
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| float | operator() (float value) |
| | Filter the input: Given \( x[n] \), calculate \( y[n] \). More...
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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
Definition at line 106 of file EMA.hpp.
◆ EMA_f()
Create an exponential moving average filter with a pole at the given location.
- Parameters
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| pole | The pole of the filter ( \(1-\alpha\)).
Should be a value in the range \( \left[0,1\right) \).
Zero means no filtering, and closer to one means more filtering. |
Definition at line 118 of file EMA.hpp.
◆ filter()
| float filter |
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float |
value | ) |
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inline |
Filter the input: Given \( x[n] \), calculate \( y[n] \).
- Parameters
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| value | The new raw input value. |
- Returns
- The new filtered output value.
Definition at line 127 of file EMA.hpp.
◆ operator()()
| float operator() |
( |
float |
value | ) |
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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 139 of file EMA.hpp.
◆ alpha
◆ filtered
The documentation for this class was generated from the following file:
Collaboration diagram for EMA_f: