Askowl.ExponentialMovingAverage Class Reference

An exponential moving average is a way to calculate an average where older values have less impact on the average than more recent ones. More...

Public Member Functions
	ExponentialMovingAverage (int lookBack=9)
	Initialise with a look-back parameter - being how many points will effect the current value. More...
float	Average (float value)
	Method with side-effects. Provide the next sample in the stream and get give back the exponential moving average. More...
float	AverageAngle (float degrees)
	Method with side-effects. Provide the next sample in the stream of angles and get give back the exponential moving average in degrees. Result will be between -180 and 180. More...

Detailed Description

An exponential moving average is a way to calculate an average where older values have less impact on the average than more recent ones.

Definition at line 7 of file ExponentialMovingAverage.cs.

Constructor & Destructor Documentation

ExponentialMovingAverage()

Askowl.ExponentialMovingAverage.ExponentialMovingAverage

(

int

lookBack = 9

)

Initialise with a look-back parameter - being how many points will effect the current value.

Member Function Documentation

Average()

float Askowl.ExponentialMovingAverage.Average

(

float

value

)

Method with side-effects. Provide the next sample in the stream and get give back the exponential moving average.

AverageAngle()

float Askowl.ExponentialMovingAverage.AverageAngle

(

float

degrees

)

Method with side-effects. Provide the next sample in the stream of angles and get give back the exponential moving average in degrees. Result will be between -180 and 180.

Definition at line 18 of file ExponentialMovingAverage.cs.

---

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

• ExponentialMovingAverage.cs