private void button1_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 2;
progressBar1.Value = 0;
textBox1.Text = "FFT testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
System.Windows.Forms.Application.DoEvents();
//
mcore.Types.Collection fft_col = new mcore.Types.Collection(2);
double power = 0;
double t0 = 0.001;
double sinus_freq = 100;
for (int i = 0; i < 10000; i++)
{
fft_col.Add(0, System.Math.Sin(2.0 * Math.PI * sinus_freq * i * t0));
fft_col.Add(1, 0);
}
mcore.Math.FFT(fft_col, ref power);
mcore.Types.Collection fft_draw = new mcore.Types.Collection(2);
int DataCount = (int)System.Math.Pow(2.0, power);
double WorkFreq = 1.0 / t0;
double minFreq = 1;
double maxFreq = WorkFreq / 2;
for (int i = 0; i < DataCount / 2; i++)
{
double xVal = i / (double)DataCount * WorkFreq;
if (xVal >= minFreq && xVal < maxFreq)
{
double yVal = System.Math.Sqrt(fft_col[0][i] * fft_col[0][i] + fft_col[1][i] * fft_col[1][i]) * 2.0 / (double)DataCount;
fft_draw.Add(0, xVal);
fft_draw.Add(1, yVal);
}
}
chart1.Series[0].Points.DataBindXY(fft_draw[0], fft_draw[1]);
chart1.Series[0].BorderWidth = 2;
chart1.ChartAreas[0].AxisX.IsLogarithmic = true;
chart1.ChartAreas[0].AxisY.IsLogarithmic = true;
//
textBox1.Text += "FFT testing - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1) * 0.001).ToString() + " sec";
//isBreak = true;
}
private void button_Matrix_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 1;
textBox1.Text = "Matix testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
mcore.Types.Collection collection = new mcore.Types.Collection(2);
// local test
double [] in_array = { 1, 2, 1,
4, 1, 6,
1, 2, 3 };
mcore.Types.Matrix m1 = new mcore.Types.Matrix(3, 3, in_array);
mcore.Types.Matrix m2 = new mcore.Types.Matrix(m1);
mcore.Types.Matrix m3 = m1 + m2;
mcore.Types.Matrix m4 = (m1 + m2) * (m1 + m2);
mcore.Types.Matrix m5 = ((m1 + m2) * (m1 + m2)).Inverse();
mcore.Types.Matrix m6 = m4 * m5;
textBox1.Text += "m3 = m1 + m2" + System.Environment.NewLine;
textBox1.Text += m3.ToString() + System.Environment.NewLine;
textBox1.Text += "m4 = (m1+m2)*(m1+m2)" + System.Environment.NewLine;
textBox1.Text += m4.ToString() + System.Environment.NewLine;
textBox1.Text += "m5 = ((m1+m2)*(m1+m2)).Inverse()" + System.Environment.NewLine;
textBox1.Text += m5.ToString() + System.Environment.NewLine;
textBox1.Text += "m6 = m4 * m5" + System.Environment.NewLine;
textBox1.Text += m6.ToString() + System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
//
textBox1.Text += "Matrix testing - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1) * 0.001).ToString() + " sec";
}
private void button_AllanVariance_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 2;
progressBar1.Value = 0;
textBox1.Text = "Allan Variance testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
System.Windows.Forms.Application.DoEvents();
//
isBreak = false;
mcore.Types.Collection collection = new mcore.Types.Collection("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(001)_s_pr1.txt", null);
mcore.Types.Collection dd = mcore.Math.AllanVariance(0.1, collection, ref isBreak, progressBar1);
//double[] x = new double[]{0.1, 1, 2, 3, 4, 5, 7, 8, 9, 10};
//double[] y = new double[]{0.1, 0.2, 0.3, 0.04, 5, 0.06, .07, 0.8, 0.9, 0.10};
//chart1.Series[0].Points.DataBindXY(x, y);
//
chart1.Series[0].Points.DataBindXY(dd[0], dd[1]);
//chart1.Series[0].Points.DataBindY(dd[0]);
chart1.ChartAreas[0].AxisX.IsLogarithmic = true;
chart1.ChartAreas[0].AxisY.IsLogarithmic = true;
textBox1.Text += "Allan Variance calculation - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1) * 0.001).ToString() + " sec";
}
private void button_Collection_Click(object sender, EventArgs e)
{
Init_Chart(chart1);
textBox1.Clear();
tabControl1.SelectedIndex = 2;
textBox1.Text = "Collection testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
mcore.Types.Collection collection = new mcore.Types.Collection(2);
// local test
collection.set_VectorName(0, "test1");
collection.set_VectorName(1, "test2");
collection.set_VectorVisibility(1, false);
collection.Add(0, 1); collection.Add(1, 11);
collection.Add(0, 2); collection.Add(1, 22);
collection.Add(0, 3); collection.Add(1, 33);
collection.Add(0, 4); collection.Add(1, 44);
// file load
collection.Load_TextFile("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(001)_s_pr1.txt", null);
collection.Save_TextFile("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(002)_s_pr1__.txt", null);
chart1.Series[0].Points.DataBindY(collection[0]);
textBox1.Text += "Collection - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1) * 0.001).ToString() + " sec";
}
private void button_Filtration_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 2;
progressBar1.Value = 0;
textBox1.Text = "Filtration testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
System.Windows.Forms.Application.DoEvents();
//
int filtertype = 1;
mcore.Digital filter;
switch (filtertype)
{
case 1: filter = new mcore.Digital.filter_loPass(0.001, 100, 1); break;
case 2: filter = new mcore.Digital.filter_hiPass(0.001, 100, 1); break;
case 3: filter = new mcore.Digital.filter_bandStop(0.001, 50, 50); break;
case 4: filter = new mcore.Digital.filter_bandPass(0.001, 50, 5); break;
case 5: filter = new mcore.Digital.phase_Corrector(0.001, 100); break;
default: filter = null; break;
}
mcore.Types.Collection c = mcore.Math.Frequency_responce(1, 1000, 0.001, filter.coefs);
for (int i = 0; i < filter.coefs[0].Count; i++)
{
textBox1.Text += "a" + i.ToString() + " = " + filter.coefs[0][i] + System.Environment.NewLine;
}
textBox1.Text += System.Environment.NewLine;
for (int i = 0; i < filter.coefs[1].Count; i++)
{
textBox1.Text += "b" + i.ToString() + " = " + filter.coefs[1][i] + System.Environment.NewLine;
}
chart1.Series[0].Points.DataBindXY(c[0], c[1]);
chart1.Series[1].Points.DataBindXY(c[0], c[2]);
chart1.ChartAreas[0].AxisX.IsLogarithmic = true;
chart1.ChartAreas[0].AxisX.Minimum = c.Vectors[0].Minimum;
chart1.ChartAreas[0].AxisX.Maximum = c.Vectors[0].Maximum;
//
textBox1.Text += "Filtration testing - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1) * 0.001).ToString() + " sec";
//isBreak = true;
}
private void button_Regression_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 1;
textBox1.Text = "Regression testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
System.Windows.Forms.Application.DoEvents();
//
mcore.Types.Collection collection = new mcore.Types.Collection("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(001)_s_pr1.txt", null);
mcore.Types.Collection c1 = collection.get_SubCollection(new int[] { 0 });
mcore.Types.Collection c2 = collection.get_SubCollection(new int[] { 1, 2, 3, 4 });
int [] power_array = new int[] { 0, 1, 2, 3, 4 };
double [][] res = mcore.Math.Regression(c1, c2, power_array);
// Вывод результата (коэффициенты)
for (int i = 0; i < c2.VectorsCount; i++)
{
textBox1.Text += System.Environment.NewLine + " vector" + i.ToString() + " = ";
for (int k = 0; k < power_array.Length; k++)
{
textBox1.Text += res[i][k].ToString("f9") + "\t";
}
}
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
// Графическое представление коррекции
List <double> correctionResult = new List <double>();
List <double> correctionResult_error = new List <double>();
for (int i = 0; i < c1[0].Count; i++)
{
double value = 0;
for (int k = 0; k < c2.VectorsCount; k++)
{
for (int z = 0; z < power_array.Length; z++)
{
value += res[k][z] * Math.Pow(c2[k][i], power_array[z]);
}
}
correctionResult.Add(value);
correctionResult_error.Add((c1[0][i] - value) / 0.035 * 3600.0);
}
chart1.Series[0].Points.DataBindY(c1[0]);
chart1.Series[1].Points.DataBindY(correctionResult);
chart1.Series[5].Points.DataBindY(correctionResult_error);
chart1.ChartAreas[1].Visible = true;
//
textBox1.Text += "Regression - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1) * 0.001).ToString() + " sec";
}
public static Types.Collection AllanVariance(double t0, mcore.Types.Collection input, ref bool isBreak, System.Windows.Forms.ProgressBar pb)
{
Types.Collection Result_Array = new Types.Collection(2);
Types.Collection CurrData = new Types.Collection();
double invert_sqrt_2 = 1.0 / System.Math.Sqrt(2.0);
int input_ValsCount = input[0].Count;
int CountAllanPoint = input[0].Count / 10;
int SumCounter;
double CurrentSum;
if (pb != null)
{
pb.Value = 0;
pb.Maximum = CountAllanPoint;
}
for (int i = 0; i < CountAllanPoint; i++)
{
CurrData.Clear();
// ---------
double OldSum = 0;
for (int k = 0; k < input_ValsCount; k = k + (i + 1))
{
SumCounter = 0;
CurrentSum = 0;
for (int z = k; z < k + (i + 1); z++)
{
if (z <= input_ValsCount - 1)
{
CurrentSum = CurrentSum + input[0][z];
SumCounter++;
}
}
CurrentSum = CurrentSum / (float)SumCounter;
// ---------- Разность соседних сумм -----
if (k > 0)
{
CurrData.Add(CurrentSum - OldSum);
}
// ----------
OldSum = CurrentSum;
}
double Mean = CurrData.Vectors[0].get_Mean();
double SCO = CurrData.Vectors[0].get_SCO(0, CurrData[0].Count, Mean) * invert_sqrt_2;
Result_Array.Add(0, t0 * (i + 1));
Result_Array.Add(1, SCO);
if (pb != null)
{
pb.Value = i;
}
System.Windows.Forms.Application.DoEvents();
if (isBreak == true)
{
return(Result_Array);
}
}
return(Result_Array);
}
/// <summary>
/// Расчет АЧХ/ФЧХ, по входному полиному (X/Y)
/// </summary>
/// <param name="begin_decad">Целое число - начальная декада</param>
/// <param name="end_decad">Целое число - конечная декада</param>
/// <param name="in_num_denum">Входной масив данных, вектор "0" - числитель полинома, вектор "1" - знаменатель полинома</param>
/// <returns>Результат вычилений, вектор "0" - частота, вектор "1" - АЧХ, вектор "2" - ФЧХ</returns>
public static mcore.Types.Collection Frequency_responce(double begin_freq, double end_freq, double t0, mcore.Types.Collection in_num_denum)
{
if (in_num_denum == null)
{
return(null);
}
mcore.Types.Collection result = new Types.Collection(3);
// preparing frequency list
double b_decad = System.Math.Floor(System.Math.Log(begin_freq + 0.0001) / System.Math.Log(10));
double e_decad = System.Math.Floor(System.Math.Log(end_freq + 0.0001) / System.Math.Log(10));
int count_decad = Convert.ToInt32(e_decad - b_decad);
int screen_width = System.Windows.Forms.Screen.PrimaryScreen.Bounds.Width;
double count_points_inOneDecad = screen_width / count_decad;
double freq_offset = 1e-6;
// ------ Frequency List ------------
for (int n = 0; n < count_decad; n++)
{
for (int k = 0; k < count_points_inOneDecad + 1; k++)
{
result.Add(0, System.Math.Pow(10, (k / count_points_inOneDecad) + n + b_decad));
}
}
int vector_legth = result.Vectors[0].data.Count;
int num_length = in_num_denum.Vectors[0].data.Count;
int denum_length = in_num_denum.Vectors[1].data.Count;
for (int i = 0; i < vector_legth; i++)
{
double freq = result[0][i] + freq_offset;
double Re1 = 0.0;
double Im1 = 0.0;
double Re2 = 0.0;
double Im2 = 0.0;
//double aOmega = 2 / T0 * Math::ArcTan2(T0 * aLambda, 2);
double aOmega = freq;
for (int k = 0; k < num_length; k++)
{
double value = in_num_denum[0][k];
Re1 += value * System.Math.Cos(k * aOmega * t0 * 2 * System.Math.PI);
Im1 -= value * System.Math.Sin(k * aOmega * t0 * 2 * System.Math.PI);
}
for (int k = 0; k < denum_length; k++)
{
double value = in_num_denum[1][k];
Re2 += value * System.Math.Cos(k * aOmega * t0 * 2 * System.Math.PI);
Im2 -= value * System.Math.Sin(k * aOmega * t0 * 2 * System.Math.PI);
}
double val1;
double val2;
try {
val1 = 20.0 * System.Math.Log10(System.Math.Sqrt(Re1 * Re1 + Im1 * Im1) / System.Math.Sqrt(Re2 * Re2 + Im2 * Im2));
val2 = System.Math.Atan2(Im1, Re1) - System.Math.Atan2(Im2, Re2);
} catch {
val1 = 0.0;
val2 = 0.0;
}
result.Add(1, val1);
result.Add(2, val2 * 180.0 / System.Math.PI);
}
return(result);
}
/// <summary>
/// Считает коэфициенты регрессии для "У" набором данных "Х"
/// </summary>
/// <param name="x">Набор данных Х</param>
/// <param name="y">К чему стремимся</param>
/// <param name="power">Степенной ряд, для которого делаем счет</param>
/// <returns></returns>
public static double [][] Regression(mcore.Types.Collection y, mcore.Types.Collection x, int[] powers)
{
if (x == null)
{
throw new Exception("(x) is null");
}
if (y == null)
{
throw new Exception("(y) is null");
}
if (powers == null)
{
throw new Exception("(powers) is null");
}
if (powers.Length >= y[0].Count)
{
throw new Exception("Length is small");
}
int ValuesCount = y[0].Count;
int xParamCount = x.VectorsCount;
int PolinomLevel = powers.Length;
double [][] result = new double[xParamCount][];
for (int i = 0; i < xParamCount; i++)
{
result[i] = new double[PolinomLevel];
}
mcore.Types.Matrix XMat = new mcore.Types.Matrix(ValuesCount, PolinomLevel * xParamCount);
mcore.Types.Matrix YMat = new mcore.Types.Matrix(ValuesCount, 1);
mcore.Types.Matrix K = new Types.Matrix();
for (int i = 0; i < ValuesCount; i++)
{
YMat[i][0] = y[0][i];
}
for (int i = 0; i < ValuesCount; i++)
{
for (int z = 0; z < xParamCount; z++)
{
for (int k = 0; k < PolinomLevel; k++)
{
XMat[i][k + z * (PolinomLevel)] = System.Math.Pow(x[z][i], powers[k]);
}
}
}
K = (XMat.Transpose() * XMat).Inverse() * XMat.Transpose() * YMat;
// ---------- K.Rows
for (int i = 0; i < xParamCount; i++)
{
for (int k = 0; k < PolinomLevel; k++)
{
result[i][k] = K[k + i * PolinomLevel][0];
}
}
return(result);
}
private void button1_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 2;
progressBar1.Value = 0;
textBox1.Text = "FFT testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
System.Windows.Forms.Application.DoEvents();
//
mcore.Types.Collection fft_col = new mcore.Types.Collection(2);
double power = 0;
double t0 = 0.001;
double sinus_freq = 100;
for ( int i = 0; i < 10000; i++)
{
fft_col.Add(0, System.Math.Sin(2.0 * Math.PI * sinus_freq * i * t0 ));
fft_col.Add(1, 0);
}
mcore.Math.FFT(fft_col, ref power);
mcore.Types.Collection fft_draw = new mcore.Types.Collection(2);
int DataCount = (int)System.Math.Pow(2.0, power);
double WorkFreq = 1.0 / t0;
double minFreq = 1;
double maxFreq = WorkFreq / 2;
for ( int i = 0; i < DataCount / 2; i++)
{
double xVal = i / (double)DataCount * WorkFreq;
if ( xVal >= minFreq && xVal < maxFreq )
{
double yVal = System.Math.Sqrt(fft_col[0][i]*fft_col[0][i] + fft_col[1][i]*fft_col[1][i])*2.0 / (double)DataCount;
fft_draw.Add(0, xVal);
fft_draw.Add(1, yVal);
}
}
chart1.Series[0].Points.DataBindXY(fft_draw[0], fft_draw[1]);
chart1.Series[0].BorderWidth = 2;
chart1.ChartAreas[0].AxisX.IsLogarithmic = true;
chart1.ChartAreas[0].AxisY.IsLogarithmic = true;
//
textBox1.Text += "FFT testing - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1)*0.001).ToString() + " sec";
//isBreak = true;
}
private void button_Regression_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 1;
textBox1.Text = "Regression testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
System.Windows.Forms.Application.DoEvents();
//
mcore.Types.Collection collection = new mcore.Types.Collection("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(001)_s_pr1.txt", null);
mcore.Types.Collection c1 = collection.get_SubCollection(new int[]{0});
mcore.Types.Collection c2 = collection.get_SubCollection(new int[]{1, 2, 3, 4});
int []power_array = new int[]{0, 1, 2, 3, 4};
double [][]res = mcore.Math.Regression(c1, c2, power_array);
// Вывод результата (коэффициенты)
for ( int i = 0 ; i < c2.VectorsCount; i++)
{
textBox1.Text += System.Environment.NewLine + " vector" + i.ToString() + " = ";
for ( int k = 0; k < power_array.Length; k++ )
textBox1.Text += res[i][k].ToString("f9") + "\t";
}
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
// Графическое представление коррекции
List<double> correctionResult = new List<double>();
List<double> correctionResult_error = new List<double>();
for ( int i = 0; i < c1[0].Count; i++)
{
double value = 0;
for ( int k = 0; k < c2.VectorsCount; k++)
for ( int z = 0; z < power_array.Length; z++ )
{
value += res[k][z] * Math.Pow( c2[k][i] , power_array[z]);
}
correctionResult.Add(value);
correctionResult_error.Add((c1[0][i] - value)/0.035*3600.0);
}
chart1.Series[0].Points.DataBindY(c1[0]);
chart1.Series[1].Points.DataBindY(correctionResult);
chart1.Series[5].Points.DataBindY(correctionResult_error);
chart1.ChartAreas[1].Visible = true;
//
textBox1.Text += "Regression - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1)*0.001).ToString() + " sec";
}
private void button_Matrix_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 1;
textBox1.Text = "Matix testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
mcore.Types.Collection collection = new mcore.Types.Collection(2);
// local test
double []in_array = {1, 2, 1,
4, 1, 6,
1, 2, 3};
mcore.Types.Matrix m1 = new mcore.Types.Matrix(3, 3, in_array);
mcore.Types.Matrix m2 = new mcore.Types.Matrix(m1);
mcore.Types.Matrix m3 = m1+m2;
mcore.Types.Matrix m4 = (m1+m2)*(m1+m2);
mcore.Types.Matrix m5 = ((m1+m2)*(m1+m2)).Inverse();
mcore.Types.Matrix m6 = m4*m5;
textBox1.Text += "m3 = m1 + m2" + System.Environment.NewLine;
textBox1.Text += m3.ToString() + System.Environment.NewLine;
textBox1.Text += "m4 = (m1+m2)*(m1+m2)" + System.Environment.NewLine;
textBox1.Text += m4.ToString() + System.Environment.NewLine;
textBox1.Text += "m5 = ((m1+m2)*(m1+m2)).Inverse()" + System.Environment.NewLine;
textBox1.Text += m5.ToString() + System.Environment.NewLine;
textBox1.Text += "m6 = m4 * m5" + System.Environment.NewLine;
textBox1.Text += m6.ToString() + System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
//
textBox1.Text += "Matrix testing - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1)*0.001).ToString() + " sec";
}
private void button_Collection_Click(object sender, EventArgs e)
{
Init_Chart(chart1);
textBox1.Clear();
tabControl1.SelectedIndex = 2;
textBox1.Text = "Collection testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
mcore.Types.Collection collection = new mcore.Types.Collection(2);
// local test
collection.set_VectorName(0, "test1");
collection.set_VectorName(1, "test2");
collection.set_VectorVisibility(1, false);
collection.Add(0, 1); collection.Add(1, 11);
collection.Add(0, 2); collection.Add(1, 22);
collection.Add(0, 3); collection.Add(1, 33);
collection.Add(0, 4); collection.Add(1, 44);
// file load
collection.Load_TextFile("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(001)_s_pr1.txt", null);
collection.Save_TextFile("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(002)_s_pr1__.txt", null);
chart1.Series[0].Points.DataBindY(collection[0]);
textBox1.Text += "Collection - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1)*0.001).ToString() + " sec";
}
private void button_AllanVariance_Click(object sender, EventArgs e)
{
textBox1.Clear();
Init_Chart(chart1);
tabControl1.SelectedIndex = 2;
progressBar1.Value = 0;
textBox1.Text = "Allan Variance testing";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
int t1 = System.Environment.TickCount;
System.Windows.Forms.Application.DoEvents();
//
isBreak = false;
mcore.Types.Collection collection = new mcore.Types.Collection("E:\\.PersonalProjects\\CSharp\\.Library\\.Data\\01-0078_(810).exp(001)_s_pr1.txt", null);
mcore.Types.Collection dd = mcore.Math.AllanVariance( 0.1, collection, ref isBreak, progressBar1 );
//double[] x = new double[]{0.1, 1, 2, 3, 4, 5, 7, 8, 9, 10};
//double[] y = new double[]{0.1, 0.2, 0.3, 0.04, 5, 0.06, .07, 0.8, 0.9, 0.10};
//chart1.Series[0].Points.DataBindXY(x, y);
//
chart1.Series[0].Points.DataBindXY(dd[0], dd[1]);
//chart1.Series[0].Points.DataBindY(dd[0]);
chart1.ChartAreas[0].AxisX.IsLogarithmic = true;
chart1.ChartAreas[0].AxisY.IsLogarithmic = true;
textBox1.Text += "Allan Variance calculation - done";
textBox1.Text += System.Environment.NewLine;
textBox1.Text += System.Environment.NewLine;
textBox1.Text += "Time elapsed = " + ((System.Environment.TickCount - t1)*0.001).ToString() + " sec";
}
