public SavitzkyGolayParameterController(SavitzkyGolayParameters parameters)
		{
			_doc = parameters;
			_numberOfPoints = parameters.NumberOfPoints;
			_polynomialOrder = parameters.PolynomialOrder;
			_derivativeOrder = parameters.DerivativeOrder;
		}
    public static void SavitzkyGolayFiltering(WorksheetController ctrl)
    {
      if(ctrl.SelectedDataColumns.Count==0)
        return;

      object paramobject = new SavitzkyGolayParameters();

      if(!Current.Gui.ShowDialog(ref paramobject,"Savitzky-Golay parameters"))
        return;

      SavitzkyGolayParameters parameters = (SavitzkyGolayParameters)paramobject;

      Altaxo.Data.DataColumn yCol = ctrl.Doc.DataColumns[ctrl.SelectedDataColumns[0]];
      Altaxo.Data.DataColumn xCol = ctrl.Doc.DataColumns.FindXColumnOf(yCol);

      double spacing = 1;
      if(xCol is Data.INumericColumn)
      {
        Calc.LinearAlgebra.VectorSpacingEvaluator calcspace = new Calc.LinearAlgebra.VectorSpacingEvaluator(Calc.LinearAlgebra.DataColumnWrapper.ToROVector(xCol));
        if(!calcspace.HasValidSpaces || calcspace.HasInvalidSpaces)
        {
          Current.Gui.ErrorMessageBox(string.Format("The x-column {0} contains invalid spaces (is not equally spaced)",xCol.Name));
          return;
        }
        if(calcspace.RelativeSpaceDeviation>1E-2)
        {
          System.Windows.Forms.DialogResult dlgresult = 
            System.Windows.Forms.MessageBox.Show(Current.MainWindow,
            string.Format("The x-column {0} is not equally spaced, the deviation is {1}, the mean spacing is {2}. Continue anyway?", xCol.Name, calcspace.RelativeSpaceDeviation, calcspace.SpaceMeanValue),
            "Continue?",System.Windows.Forms.MessageBoxButtons.YesNo,
            System.Windows.Forms.MessageBoxIcon.Question,
            System.Windows.Forms.MessageBoxDefaultButton.Button1);

          if(dlgresult==System.Windows.Forms.DialogResult.No)
            return;
        }

        spacing = calcspace.SpaceMeanValue;
      }

      Calc.Regression.SavitzkyGolay filter = new SavitzkyGolay(parameters);

      yCol.Suspend();
      filter.Apply(DataColumnWrapper.ToROVectorCopy(yCol),DataColumnWrapper.ToVector(yCol));

      if(parameters.DerivativeOrder>0)
      {
        double factor = Math.Pow(1/spacing,parameters.DerivativeOrder)*Calc.GammaRelated.Fac(parameters.DerivativeOrder);
        yCol.Data = yCol*factor; 
      }

      yCol.Resume();
    }
Exemple #3
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		public static void SavitzkyGolayFiltering(IWorksheetController ctrl)
		{
			if (ctrl.SelectedDataColumns.Count == 0)
				return;

			object paramobject = new SavitzkyGolayParameters();

			if (!Current.Gui.ShowDialog(ref paramobject, "Savitzky-Golay parameters"))
				return;

			SavitzkyGolayParameters parameters = (SavitzkyGolayParameters)paramobject;

			Altaxo.Data.DataColumn yCol = ctrl.DataTable.DataColumns[ctrl.SelectedDataColumns[0]];
			Altaxo.Data.DataColumn xCol = ctrl.DataTable.DataColumns.FindXColumnOf(yCol);

			SavitzkyGolay(parameters, yCol, xCol);
		}
Exemple #4
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		public static void SavitzkyGolay(SavitzkyGolayParameters parameters, Altaxo.Data.DataColumn yCol, Altaxo.Data.DataColumn xCol)
		{
			double spacing = 1;
			if (xCol is Data.INumericColumn)
			{
				Calc.LinearAlgebra.VectorSpacingEvaluator calcspace = new Calc.LinearAlgebra.VectorSpacingEvaluator(Calc.LinearAlgebra.DataColumnWrapper.ToROVector(xCol));
				if (!calcspace.HasValidSpaces || calcspace.HasInvalidSpaces)
				{
					Current.Gui.ErrorMessageBox(string.Format("The x-column {0} contains invalid spaces (is not equally spaced)", xCol.Name));
					return;
				}
				if (calcspace.RelativeSpaceDeviation > 1E-2)
				{
					if (!Current.Gui.YesNoMessageBox(
						string.Format("The x-column {0} is not equally spaced, the deviation is {1}, the mean spacing is {2}. Continue anyway?", xCol.Name, calcspace.RelativeSpaceDeviation, calcspace.SpaceMeanValue),
						"Continue?", true))
						return;
				}

				spacing = calcspace.SpaceMeanValue;
			}

			Calc.Regression.SavitzkyGolay filter = new SavitzkyGolay(parameters);

			using (var suspendToken = yCol.SuspendGetToken())
			{
				filter.Apply(DataColumnWrapper.ToROVectorCopy(yCol), DataColumnWrapper.ToVector(yCol));

				if (parameters.DerivativeOrder > 0)
				{
					double factor = Math.Pow(1 / spacing, parameters.DerivativeOrder) * Calc.GammaRelated.Fac(parameters.DerivativeOrder);
					yCol.Data = yCol * factor;
				}
				suspendToken.Dispose();
			}
		}
Exemple #5
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 /// <summary>
 /// This sets up a Savitzky-Golay filter.
 /// </summary>
 /// <param name="parameters">Set of parameters used for Savitzky-Golay filtering.</param>
 public SavitzkyGolay(SavitzkyGolayParameters parameters)
     : this(parameters.NumberOfPoints, parameters.DerivativeOrder, parameters.PolynomialOrder)
 {
 }
Exemple #6
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		public static void SavitzkyGolay(SavitzkyGolayParameters parameters, Altaxo.Data.DataColumn yCol)
		{
			SavitzkyGolay(parameters, yCol, null);
		}
Exemple #7
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		/// <summary>
		/// This sets up a Savitzky-Golay filter.
		/// </summary>
		/// <param name="parameters">Set of parameters used for Savitzky-Golay filtering.</param>
		public SavitzkyGolay(SavitzkyGolayParameters parameters)
			: this(parameters.NumberOfPoints, parameters.DerivativeOrder, parameters.PolynomialOrder)
		{
		}
        protected virtual void CalculateFixedSignal(out double[] fixedSignalGeneratorInput)
        {
            double[] arrayToFixFrom;
            if (AlgorithmParams.SignalToFix == FixBasedOnTypes.FirstInput)
            {
                arrayToFixFrom = IterationsData[0].SignalsData[SignalTypes.SignalGeneratorOutput];
            }
            else
            {
                arrayToFixFrom = IterationsData[CurrentIterationIndex].SignalsData[SignalTypes.SignalGeneratorOutput];
            }
            for (int i = 0; i < PeriodLength; i++)
            {
                double signalAmp = IterationsData[CurrentIterationIndex].SignalsAmplitude[Experiments.SignalTypes.PhotodiodeOutput];
                double actualError = IterationsData[CurrentIterationIndex].OutputError[i] * signalAmp;
                if (Math.Abs(actualError) < AlgorithmParams.MaxErrorToFixFrom)
                {
                    IterationsData[CurrentIterationIndex].FixValue[i] = 0;
                }
                double dfdi = 0.5 * Math.Sin(2 * i * Math.PI / PeriodLength);
                dfdi = (1 + AlgorithmParams.EpsilonFactor) / (dfdi + AlgorithmParams.EpsilonFactor);
                if (AlgorithmParams.UseDerivativeFix)
                {
                    //need to check later ob without abs as it was originally.
                    IterationsData[CurrentIterationIndex].FixValue[i] *= Math.Abs(dfdi);
                }
                IterationsData[CurrentIterationIndex].FixedInput[i] = Math.Round(arrayToFixFrom[i] + IterationsData[CurrentIterationIndex].FixValue[i]);
                if (IterationsData[CurrentIterationIndex].FixedInput[i] < 0)
                {
                    IterationsData[CurrentIterationIndex].FixedInput[i] = 0;
                }
                if (IterationsData[CurrentIterationIndex].FixedInput[i] > AlgorithmParams.DigitzerParams.DigitizerLevels)
                {
                    IterationsData[CurrentIterationIndex].FixedInput[i] = AlgorithmParams.DigitzerParams.DigitizerLevels;
                }
            }

            if (AlgorithmParams.SavitzkyGolayFilterOrder > 0)
            {
                int dataLength = IterationsData[CurrentIterationIndex].FixedInput.Length;
                double oldMax = IterationsData[CurrentIterationIndex].FixedInput.Max();
                double oldMin = IterationsData[CurrentIterationIndex].FixedInput.Min();
                double oldDelta = oldMax - oldMin;
                SavitzkyGolayParameters sgParam = new SavitzkyGolayParameters();
                sgParam.DerivativeOrder = 0;
                sgParam.NumberOfPoints = AlgorithmParams.SavitzkyGolayFilterLength;
                sgParam.PolynomialOrder = AlgorithmParams.SavitzkyGolayFilterOrder;
                SavitzkyGolay sgAlgo = new SavitzkyGolay(sgParam);
                double[] tmpSignal = new double[dataLength * 3];
                double[] smoothSignal = new double[dataLength * 3];
                double[] a = new double[5];
                for (int i = 0; i < 3; i++)
                {
                    Array.Copy(IterationsData[CurrentIterationIndex].FixedInput, 0, tmpSignal, i * dataLength, dataLength);
                }

                sgAlgo.Apply(tmpSignal, smoothSignal);
                Array.Copy(smoothSignal, dataLength, IterationsData[CurrentIterationIndex].FixedInput, 0, dataLength);
                double newMax = 0;
                double newMin = 0;
                if (AlgorithmParams.RescaleAfterSmoothing)
                {
                    double newAmplitude;
                    newMax = IterationsData[CurrentIterationIndex].FixedInput.Max();
                    newMin = IterationsData[CurrentIterationIndex].FixedInput.Min();
                    IterationsData[CurrentIterationIndex].FixedInput = SignalDigitizer.NormalizeSignal(IterationsData[CurrentIterationIndex].FixedInput, new DigitzerParameters(DigitizingMethods.Absolute, 0, 0, 1, false), out newAmplitude).ToArray();
                    IterationsData[CurrentIterationIndex].FixedInput = IterationsData[CurrentIterationIndex].FixedInput.Select(fixValue => (fixValue * oldDelta) + oldMin).ToArray();
                }
                IterationsData[CurrentIterationIndex].FixedInput = IterationsData[CurrentIterationIndex].FixedInput.Select(x => Math.Round(x)).ToArray();
                newMax = IterationsData[CurrentIterationIndex].FixedInput.Max();
                newMin = IterationsData[CurrentIterationIndex].FixedInput.Min();

            }
            fixedSignalGeneratorInput = IterationsData[CurrentIterationIndex].FixedInput;
        }