mikasjp

for(var i = 0; i < 1000; i++)
{
	list1.Add(i, Math.Sin(i));
}

Chart.AxisChange();
Chart.Refresh();

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var temporalCv = new double[1000];
 
for (var i = 0; i < 1000; i++){
	temporalCv[i] = 5;
}
 
var cv = new ChartValues<double>();
cv.AddRange(temporalCv);

mikasjp

var cv = new ChartValues<double>();

for (var i = 0; i < 100000; i++)
{
  cv.Add(Math.Sin(i));
}

mikasjp

mikasjp

    public class AlphaBetaFilter: IFilter
    {

        private double Alpha { get; set; }
        private double Beta { get; set; }
        private Sample LastSample { get; set; }

        double LastDerivative { get; set; } = 0;

        public AlphaBetaFilter(double alpha, double beta, double InitialTime = 0)

mikasjp

namespace InertialNavigationSystem_Test
{
    [TestFixture]
    class FIRFilter_Test
    {

        [TestCase]
        public void FIRFilter_CreateNewObject()
        {
            FIRFilter Filter = new FIRFilter(new List<double>() { 0.25, 0.25, 0.25, 0.25 });

mikasjp

FIRFilter filter = new FIRFilter(new List<double>() { 0.25, 0.25, 0.25, 0.25 });

mikasjp

namespace InertialNavigationSystem
{
    public class FIRFilter: IFilter
    {

        private List<Sample> Memory { get; set; }

        private List<double> Coefficients { get; set; }

        public FIRFilter(List<double> FilterCoefficients)

mikasjp

Assert.AreEqual( Oczekiwany, Aktualny ); //Czy oba parametry sa jednakowe
Assert.AreSame( Obiekt1, Obiekt2 ); //Czy oba parametry odwoluja sie do tego samego obiektu
Assert.Greater( Liczba1, Liczba2 ); //Czy x>y
Assert.Less( Liczba1, Liczba2 ); //Czy y<x

mikasjp

namespace InertialNavigationSystem_Test
{
    [TestFixture]
    public class IntegratorTest
    {
        [Test]
        public void IntegrateSamples()
        {

            List<Sample> samples = new List<Sample>()