Example usage for org.apache.commons.math3.filter MeasurementModel interface-usage

Introduction

In this page you can find the example usage for org.apache.commons.math3.filter MeasurementModel interface-usage.

Usage

From source file com.nui.android.filter.kalman.RotationMeasurementModel.java

public class RotationMeasurementModel implements MeasurementModel {
    private double noiseCoefficient = 0.001;

    /**
     * The measurement matrix, used to associate the measurement vector to the
     * internal state estimation vector.

From source file us.bojie.rawgyroscope.gyroscope.RotationMeasurementModel.java

public class RotationMeasurementModel implements MeasurementModel {
    private double noiseCoefficient = 0.001;

    /**
     * The measurement matrix, used to associate the measurement vector to the
     * internal state estimation vector.

From source file com.bolatu.gezkoncsvlogger.GyroOrientation.RotationMeasurementModel.java

public class RotationMeasurementModel implements MeasurementModel {
    private double noiseCoefficient = 0.001;

    /**
     * The measurement matrix, used to associate the measurement vector to the
     * internal state estimation vector.

From source file com.example.johnny.multipong.sensorFilters.Filters.kalman.RotationMeasurementModel.java

public class RotationMeasurementModel implements MeasurementModel {
    private double noiseCoefficient = 0.001;

    /**
     * The measurement matrix, used to associate the measurement vector to the
     * internal state estimation vector.

From source file com.kircherelectronics.accelerationexplorer.filter.kalman.RotationMeasurementModel.java

public class RotationMeasurementModel implements MeasurementModel {
    private double noiseCoefficient = 0.001;

    /**
     * The measurement matrix, used to associate the measurement vector to the
     * internal state estimation vector.

From source file com.kircherelectronics.gyroscopeexplorer.activity.filter.kalman.RotationMeasurementModel.java

public class RotationMeasurementModel implements MeasurementModel {
    private double noiseCoefficient = 0.001;

    /**
     * The measurement matrix, used to associate the measurement vector to the
     * internal state estimation vector.