public static Dictionary <UnLinearityType, Dictionary <ModellingDataTypeWithStrategies, Dictionary <StatisticParametrType, double> > > GetStatisticsOfDiagramOfTransformation(GlobalUnit unit, int numbers)
{
Dictionary <UnLinearityType, Dictionary <ModellingDataTypeWithStrategies, Dictionary <StatisticParametrType, double> > > result =
new Dictionary <UnLinearityType, Dictionary <ModellingDataTypeWithStrategies, Dictionary <StatisticParametrType, double> > >(2);
Dictionary <ModellingDataTypeWithStrategies, Dictionary <StatisticParametrType, double> > dictIntegralUnLinearity =
new Dictionary <ModellingDataTypeWithStrategies, Dictionary <StatisticParametrType, double> >(4);
Dictionary <ModellingDataTypeWithStrategies, Dictionary <StatisticParametrType, double> > dictDiferentialUnLinearity =
new Dictionary <ModellingDataTypeWithStrategies, Dictionary <StatisticParametrType, double> >(4);
double[][] integral = new double[4][];
for (int i = 0; i < 4; i++)
{
integral[i] = new double[numbers];
}
double[][] differential = new double[4][];
for (int i = 0; i < 4; i++)
{
differential[i] = new double[numbers];
}
CharacteristoOfTransformationParametrs param =
new CharacteristoOfTransformationParametrs(int.MaxValue, 1,
new AnalogSignal(TypesOfSignalEnum.KxB, new LineParametrs(1.0, 0.0)));
for (int index = 0; index < numbers; index++)
{
PointPairList[] graphArrays = GetDiagramOfTransformationOfAllStrategies(unit);
// graphArrays.Length==4 без калібрування + 3 стратегії
for (int i = 0; i < graphArrays.Length; i++)
{
PointPairList integralUnLinearityCurve = Nonlinearity.CalculateIntegralUnLinearity(graphArrays[i]);
PointPairList diferentialUnLinearityCurve = Nonlinearity.CalculateDifferentialUnLinearity(graphArrays[i]);
CalculateStatisticsForOneParametr(integralUnLinearityCurve, ref integral[i][index]);
CalculateStatisticsForOneParametr(diferentialUnLinearityCurve, ref differential[i][index]);
}
}
dictIntegralUnLinearity.Add(ModellingDataTypeWithStrategies.Simple, MakeLowestDictionary(integral[0]));
dictIntegralUnLinearity.Add(ModellingDataTypeWithStrategies.CalibratedWithFirstStrategy, MakeLowestDictionary(integral[1]));
dictIntegralUnLinearity.Add(ModellingDataTypeWithStrategies.CalibratedWithSecondStrategy, MakeLowestDictionary(integral[2]));
dictIntegralUnLinearity.Add(ModellingDataTypeWithStrategies.CalibratedWithThirdStrategy, MakeLowestDictionary(integral[3]));
dictDiferentialUnLinearity.Add(ModellingDataTypeWithStrategies.Simple, MakeLowestDictionary(differential[0]));
dictDiferentialUnLinearity.Add(ModellingDataTypeWithStrategies.CalibratedWithFirstStrategy, MakeLowestDictionary(differential[1]));
dictDiferentialUnLinearity.Add(ModellingDataTypeWithStrategies.CalibratedWithSecondStrategy, MakeLowestDictionary(differential[2]));
dictDiferentialUnLinearity.Add(ModellingDataTypeWithStrategies.CalibratedWithThirdStrategy, MakeLowestDictionary(differential[3]));
result.Add(UnLinearityType.Integral, dictIntegralUnLinearity);
result.Add(UnLinearityType.Differential, dictDiferentialUnLinearity);
return(result);
}
private void bntStart_Click(object sender, EventArgs e)
{
bntStart.Enabled = false;
CharacteristoOfTransformationParametrs param = ReadDataFromFields();
CalibrationType selectedTypesOfClaibration = (CalibrationType)Enum.Parse(typeof(CalibrationType), cmdMethodOfCalibration.SelectedValue.ToString());
if (param != null)
{
graphArrays = ADCCharacteristicHelper.GetDiagramOfTransformation(unit, param, selectedTypesOfClaibration, out regTrackWithoutCalibration, out regTrackWithCalibration);
DrawGraph();
}
bntStart.Enabled = true;
}
public static PointPairList[] GetDiagramOfTransformationGKS(GlobalUnit unit, CharacteristoOfTransformationParametrs param, CalibrationType typeOfCalibration, out Dictionary <int, double> regTrackWithout, out Dictionary <int, double> regTrackWith)
{
PointPairList[] graphArrays = new PointPairList[3];
unit.SetAdcNewWeights();
//unit.CalibrateADCsDAC(StrategyEnums.Tracking);
PointPairList[] res = unit.adcInst.GetDiagramOfTransformationGKS(param, out regTrackWithout);
graphArrays[0] = res[0].Clone();
graphArrays[1] = res[1].Clone();
unit.CalibrationsOfADC(typeOfCalibration);
res = unit.adcInst.GetDiagramOfTransformationGKS(param, out regTrackWith);
graphArrays[2] = res[1].Clone();
return(graphArrays);
}
public static Dictionary <UnLinearityType, Dictionary <ModellingDataType, Dictionary <StatisticParametrType, double> > > GetStatisticsOfDiagramOfTransformation(GlobalUnit unit, int numbers)
{
var result =
new Dictionary <UnLinearityType, Dictionary <ModellingDataType, Dictionary <StatisticParametrType, double> > >(2);
Dictionary <ModellingDataType, Dictionary <StatisticParametrType, double> > dictIntegralUnLinearity =
new Dictionary <ModellingDataType, Dictionary <StatisticParametrType, double> >(3);
Dictionary <ModellingDataType, Dictionary <StatisticParametrType, double> > dictDiferentialUnLinearity =
new Dictionary <ModellingDataType, Dictionary <StatisticParametrType, double> >(3);
Dictionary <int, int[]> regTrackWithoutCalibration;
Dictionary <int, int[]> regTrackWithCalibration;
var simpleIntegral = new double[numbers];
//0- tracking
//1- cletching
var calibratedIntegral = new double[2][];
calibratedIntegral[0] = new double[numbers];
calibratedIntegral[1] = new double[numbers];
var simpleDifferential = new double[numbers];
//0- tracking
//1- cletching
var calibratedDifferential = new double[2][];
calibratedDifferential[0] = new double[numbers];
calibratedDifferential[1] = new double[numbers];
CharacteristoOfTransformationParametrs param =
new CharacteristoOfTransformationParametrs(int.MaxValue, 1,
new AnalogSignal(TypesOfSignalEnum.KxB, new LineParametrs(1.0, 0.0)));
for (int index = 0; index < numbers; index++)
{
var graphArraysTracking = GetDiagramOfTransformation(unit, param, CalibrationType.Tracking, out regTrackWithoutCalibration, out regTrackWithCalibration);
var graphArraysCletching = GetDiagramOfTransformation(unit, param, CalibrationType.Cletching, out regTrackWithoutCalibration, out regTrackWithCalibration);
var res = new PointPairList [] { graphArraysTracking[1], graphArraysTracking[2], graphArraysCletching[2] };
GetValueForCurve(Nonlinearity.CalculateDifferentialUnLinearity(res[0]), ref simpleIntegral[index]);
GetValueForCurve(Nonlinearity.CalculateDifferentialUnLinearity(res[1]), ref calibratedDifferential[0][index]);
GetValueForCurve(Nonlinearity.CalculateDifferentialUnLinearity(res[2]), ref calibratedDifferential[1][index]);
GetValueForCurve(Nonlinearity.CalculateIntegralUnLinearity(res[0]), ref simpleDifferential[index]);
GetValueForCurve(Nonlinearity.CalculateIntegralUnLinearity(res[1]), ref calibratedIntegral[0][index]);
GetValueForCurve(Nonlinearity.CalculateIntegralUnLinearity(res[2]), ref calibratedIntegral[1][index]);
}
dictIntegralUnLinearity.Add(ModellingDataType.Simple, MakeLowestDictionary(simpleIntegral));
dictIntegralUnLinearity.Add(ModellingDataType.CalibratedTracking, MakeLowestDictionary(calibratedIntegral[0]));
dictIntegralUnLinearity.Add(ModellingDataType.CalibratedCletching, MakeLowestDictionary(calibratedIntegral[1]));
dictDiferentialUnLinearity.Add(ModellingDataType.Simple, MakeLowestDictionary(simpleDifferential));
dictDiferentialUnLinearity.Add(ModellingDataType.CalibratedTracking, MakeLowestDictionary(calibratedDifferential[0]));
dictDiferentialUnLinearity.Add(ModellingDataType.CalibratedCletching, MakeLowestDictionary(calibratedDifferential[1]));
result.Add(UnLinearityType.Integral, dictIntegralUnLinearity);
result.Add(UnLinearityType.Differential, dictDiferentialUnLinearity);
return(result);
}