cs-kalman-filters 1.0.1

.NET Framework 4.6.1
Install-Package cs-kalman-filters -Version 1.0.1
dotnet add package cs-kalman-filters --version 1.0.1
<PackageReference Include="cs-kalman-filters" Version="1.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add cs-kalman-filters --version 1.0.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: cs-kalman-filters, 1.0.1"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install cs-kalman-filters as a Cake Addin
#addin nuget:?package=cs-kalman-filters&version=1.0.1

// Install cs-kalman-filters as a Cake Tool
#tool nuget:?package=cs-kalman-filters&version=1.0.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

cs-kalman-filters

Kalman Filters implemented in .NET

Install

Run the following command to install the nuget package:

Install-Package cs-kalman-filters

Usage

The following sample codes show how to use the 1d and 2d kalman-filters:

using System;

namespace KalmanFilters
{
    class Program
    {
        static void Main(string[] args)
        {
            TestFilter1D();
            TestFilter2D();
        }

        public static void TestFilter1D()
        {
            double[] measurements = new double[5] { 5.0, 6.0, 7.0, 9.0, 10.0 };
            double[] motion = new double[5] { 1.0, 1.0, 2.0, 1.0, 1.0 };
            double measurement_sigma = 4.0;
            double motion_sigma = 2.0;
            double mu = 0;
            double sigma = 10000;

            KalmanFilter1D filter = new KalmanFilter1D(mu, sigma, measurement_sigma, motion_sigma);

            for (int t = 0; t < measurements.Length; ++t)
            {
                filter.Update(measurements[t]);
                filter.Predict(motion[t]);
                Console.WriteLine(filter.BeliefDistributionDescription);
            }
        }



        public static void TestFilter2D()
        {
            double[] measurements = new double[3] { 1, 2, 3 }; //measurement of locations at t = 1, 2, 3

            //apply kalman filter to predict the velocity and location at t = 4
            KalmanFilter2D filter = new KalmanFilter2D();

            for (int t = 0; t < measurements.Length; ++t)
            {
                filter.Update(measurements[t]);
                filter.Predict();
            }

            Console.WriteLine("x: {0}", filter.StateDescription);
            Console.WriteLine("P: {0}", filter.UncertaintyDescription);

        }
    }
}

Product Versions
.NET Framework net461 net462 net463 net47 net471 net472 net48
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.1 1,088 5/1/2018

Kalman Filters in .NET 4.6.1