private double CalculateBestPoint(double TypcalValue, double[] X, double[] Y)
{
bool flag = false;
int i = 1;
double BestDacPoint;
while (!flag && i < Y.Length)
{
if (TypcalValue >= Y[i - 1] && TypcalValue <= Y[i])
{
flag = true;
break;
}
i++;
}
double slope = 0, intercept = 0;
Algorithm.LinearRegression(X, Y, out slope, out intercept);
BestDacPoint = slope + (intercept * TypcalValue);
return(BestDacPoint);
}
protected void GettingCurvingPointsandFitting(Attennuator tempAtten, ErrorDetector tempED)
{
lock (tempAtten)
{
try
{
double intercept;
double slope;
byte tmepCount = 0;
Log.SaveLogToTxt("Step6...SerchCoefPoints");
{
SerchCoefPoints(tempAtten, tempED, attPoint, ber_erp, testBerStruct.CoefCsenAddStep, testBerStruct.CoefCsenSubStep, out attPoints, out berPoints);
tmepCount = (byte)Math.Min(attPoints.Count, berPoints.Count);
double[] tempattPoints = new double[tmepCount];
double[] tempberPoints = new double[tmepCount];
for (byte i = 0; i < tmepCount; i++)
{
tempattPoints[i] = double.Parse(attPoints[i].ToString());
tempberPoints[i] = double.Parse(berPoints[i].ToString());
Log.SaveLogToTxt("attPoints[ " + i.ToString() + "]" + double.Parse(attPoints[i].ToString()) + " " + "berPoints[ " + i.ToString() + "]" + double.Parse(berPoints[i].ToString()));
}
Algorithm.LinearRegression(Algorithm.Getlog10(Algorithm.GetNegative(Algorithm.Getlog10(tempberPoints))), tempattPoints, out slope, out intercept);
sensitivityPoint = slope + (intercept * System.Math.Log10(System.Math.Log10(ber_erp) * (-1)));
Log.SaveLogToTxt("LinearSlope=" + intercept + " LinearOffset= " + slope);// 因为Offset 和 Slope 的幅值颠倒 Leo
}
}
catch (System.Exception ex)
{
throw ex;
}
}
}
private double CalculateBestPoint(double TypcalValue, double[] X, double[] Y)
{
double BestDacPoint;
double slope = 0, intercept = 0;
Algorithm.LinearRegression(X, Y, out slope, out intercept);
BestDacPoint = slope + (intercept * TypcalValue);
return(BestDacPoint);
}
