C# (CSharp) InformationFilter示例

示例#1

文件： KalmanFilterTest.cs 项目： lizhen-dlut/mathnet-neodym

        public void TestInformationFilter()
        {
            System.Console.WriteLine("Filter 1 - DiscreteKalmanFilter, Filter 2 - InformationFilter");
            Matrix x0 = RangeBearingTracker.TwoPointDifferenceState(rM[0], rM[1], bM[0], bM[1], T);
            Matrix P0 = RangeBearingTracker.TwoPointDifferenceCovariance(rM[0], rM[1], bM[0], bM[1], re, the, T);
            DiscreteKalmanFilter dkf = new DiscreteKalmanFilter(x0, P0);
            InformationFilter    inf = new InformationFilter(x0, P0);

            Assert.IsTrue(RunTest(dkf, inf, DefaultTolerance));
        }

示例#2

文件： KalmanFilterTest.cs 项目： Kingefosa/mathnet-filtering

 public void TestInformationFilter()
 {
     System.Console.WriteLine("Filter 1 - DiscreteKalmanFilter, Filter 2 - InformationFilter");
     Matrix<double> x0 = RangeBearingTracker.TwoPointDifferenceState(rM[0], rM[1], bM[0], bM[1], T);
     Matrix<double> P0 = RangeBearingTracker.TwoPointDifferenceCovariance(rM[0], rM[1], bM[0], bM[1], re, the, T);
     DiscreteKalmanFilter dkf = new DiscreteKalmanFilter(x0, P0);
     InformationFilter inf = new InformationFilter(x0, P0);
     Assert.IsTrue(RunTest(dkf, inf, DefaultTolerance));
 }