// [TestMethod()]
public void SavitzkyGolayTest()
{
// int winSize = 5; // TODO: 初始化为适当的值
var target = new SavitzkyGolay(31); // TODO: 初始化为适当的值
var matReader = new MatlabMatrixReader <double>(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\X.mat");
var input = matReader.ReadMatrix();
var reader2 = new MatlabMatrixReader <double>(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_smooth_31.mat");
var expected = reader2.ReadMatrix();
var actual = target.Process((Matrix)input, RIPP.Lib.MathLib.VectorType.Row);
var writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_smooth_31_my.mat");
writer.WriteMatrix <double>(actual, "dd");
writer.Close();
target = new SavitzkyGolay(21);
actual = target.Process((Matrix)input, RIPP.Lib.MathLib.VectorType.Row);
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_smooth_21_my.mat");
writer.WriteMatrix <double>(actual, "dd");
writer.Close();
// Assert.Inconclusive("验证此测试方法的正确性。");
}
/// <summary>This sets up a Savitzky-Golay-Filtering for all spectra.</summary>
/// <param name="numberOfPoints">Number of points. Must be an odd number, otherwise it is rounded up.</param>
/// <param name="derivativeOrder">Order of derivative you want to obtain. Set 0 for smothing.</param>
/// <param name="polynomialOrder">Order of the fitting polynomial. Usual values are 2 or 4.</param>
public SavitzkyGolayCorrection(int numberOfPoints, int derivativeOrder, int polynomialOrder)
{
_numberOfPoints = numberOfPoints;
_derivativeOrder = derivativeOrder;
_polynomialOrder = polynomialOrder;
_filter = new SavitzkyGolay(numberOfPoints,derivativeOrder,polynomialOrder);
}
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();
}
public static double[] FilterBySavitzkyGolay(FiltersConfig filterConfig, double[] eyeCoords)
{
double[] smoothedResult = new double[eyeCoords.Length];
var filterSavitzkyGolay = new SavitzkyGolay(filterConfig.SavitzkyGolayNumberOfPoints, filterConfig.SavitzkyGolayDerivativeOrder,
filterConfig.SavitzkyGolayPolynominalOrder);
filterSavitzkyGolay.Apply(eyeCoords, smoothedResult);
eyeCoords = smoothedResult;
return(eyeCoords);
}
public static void SavitzkyGolay(SavitzkyGolayParameters parameters, Altaxo.Data.DataColumn yCol, Altaxo.Data.DataColumn xCol)
{
double spacing = 1;
if (xCol is Data.INumericColumn)
{
var 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;
}
var 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();
}
}
// [TestMethod]
public void SpectraFitTest()
{
var matReader = new MatlabMatrixReader <double>(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\cx.mat");
var cx = matReader.ReadMatrix();
matReader = new MatlabMatrixReader <double>(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\vx.mat");
var vx = matReader.ReadMatrix();
var f1 = new Sgdiff();
f1.P = 2;
var cx1 = f1.Process((Matrix)cx);
var writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\fit\cx1.mat");
writer.WriteMatrix <double>(cx1, "cx1");
writer.Close();
var f2 = new SavitzkyGolay(5);
var cx2 = f2.Process((Matrix)cx1);
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\fit\cx2.mat");
writer.WriteMatrix <double>(cx2, "cx2");
writer.Close();
var f3 = new VarRegionManu();
f3.Xaxis = new DenseVector(cx.RowCount);
for (int i = 1; i <= cx.RowCount; i++)
{
f3.Xaxis[i - 1] = i;
}
var a = f3.Argus;
a["Xaxis"].Value = f3.Xaxis;
f3.XaxisRegion = new System.Collections.Generic.List <RegionPoint>();
f3.XaxisRegion.Add(new RegionPoint(131, 314));
f3.XaxisRegion.Add(new RegionPoint(468, 677));
a["XaxisRegion"].Value = f3.XaxisRegion;
f3.Argus = a;
var lst = new System.Collections.Generic.List <Vector>();
for (int i = 0; i < cx2.ColumnCount; i++)
{
lst.Add(f3.VarProcess((Vector)cx2.Column(i)));
}
var cx3 = new DenseMatrix(lst[0].Count, cx2.ColumnCount);
for (int i = 0; i < cx2.ColumnCount; i++)
{
cx3.SetColumn(i, lst[i]);
}
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\fit\cx3.mat");
writer.WriteMatrix <double>(cx3, "cx3");
writer.Close();
var f4 = new NormPathLength();
var cx4 = f4.Process(cx3);
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\fit\cx4.mat");
writer.WriteMatrix <double>(cx4, "cx4");
writer.Close();
matReader = new MatlabMatrixReader <double>(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\fit\mcx4.mat");
cx4 = (Matrix)matReader.ReadMatrix();
var fitr = new DenseMatrix(cx4.ColumnCount - 1, cx4.ColumnCount);
for (int i = 0; i < cx4.ColumnCount; i++)
{
var subm = new DenseMatrix(cx4.RowCount, cx4.ColumnCount - 1);
int tag = 0;
for (int k = 0; k < cx4.ColumnCount; k++)
{
if (k == i)
{
continue;
}
subm.SetColumn(tag, cx4.Column(k));
tag++;
}
var fr = SpectraFit.Fit((Matrix)subm, (Vector)cx4.Column(i));
fitr.SetColumn(i, fr);
}
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\fit\fitr.mat");
writer.WriteMatrix <double>(fitr, "fitr");
writer.Close();
}
/// <summary>This sets up a Savitzky-Golay-Filtering for all spectra.</summary>
/// <param name="numberOfPoints">Number of points. Must be an odd number, otherwise it is rounded up.</param>
/// <param name="derivativeOrder">Order of derivative you want to obtain. Set 0 for smothing.</param>
/// <param name="polynomialOrder">Order of the fitting polynomial. Usual values are 2 or 4.</param>
public SavitzkyGolayCorrection(int numberOfPoints, int derivativeOrder, int polynomialOrder)
{
_numberOfPoints = numberOfPoints;
_derivativeOrder = derivativeOrder;
_polynomialOrder = polynomialOrder;
_filter = new SavitzkyGolay(numberOfPoints,derivativeOrder,polynomialOrder);
}
