Class Kalman

Estimates a true value from noisy readings.

public sealed class Kalman : IDisposable

Inherited Members: object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.ReferenceEquals(object, object)

object.ToString()

Remarks

The filter trusts the model and the sensor in proportion to how noisy each is, so it settles faster than a plain average without chasing every spike.

Creates a filter from the noise levels and a first guess.

public Kalman(float processNoise, float measurementNoise, float initial)

Gets the current estimate.

public float Estimate { get; }

Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.

public void Dispose()

Folds a reading in and returns the new estimate.

public float Update(float reading)