本文整理汇总了C#中Vector.Count方法的典型用法代码示例。如果您正苦于以下问题：C# Vector.Count方法的具体用法？C# Vector.Count怎么用？C# Vector.Count使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Vector的用法示例。
在下文中一共展示了Vector.Count方法的11个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: VectorAdd
public void VectorAdd()
{
Vector<Point> points = new Vector<Point>();
points.Add(new Point(2f, 3f));
Assert.AreEqual(1, points.Count());
points.Add(new Point(2.4f, 3f));
points.Add(new Point(2.5f, 3f));
Assert.AreEqual(3, points.Count());
}示例2: VectorRemove
public void VectorRemove()
{
Point pointToRemove = new Point(2.4f, 3f);
Vector<Point> points = new Vector<Point>();
points.Add(new Point(2f, 3f));
points.Add(pointToRemove);
points.Add(new Point(2.5f, 3f));
Assert.AreEqual(3, points.Count());
points.Remove(pointToRemove);
Assert.AreEqual(2, points.Count());
}示例3: Ordering
//function for samples ordering
public Vector<double> Ordering(Vector<double> signal_rr)
{
// samplesOrder obtaining
Vector<double> samplesOrder = Vector<double>.Build.Dense(signal_rr.Count(), 0);
for (int i = 0; i < samplesOrder.Count; i++)
{
samplesOrder[i] = i;
}
return samplesOrder;
}示例4: AddNewObject
public void AddNewObject()
{
int[] localData = new int[] { 3, 7, 5, 8 };
Vector<int> vector = new Vector<int>(localData);
int obj = 2;
int[] expectedValue = new int[] { 3, 7, 5, 8, 2, 0, 0, 0 };
vector.Add(obj);
CollectionAssert.AreEqual(expectedValue, vector.GetData());
Assert.AreEqual(5, vector.Count());
}示例5: Integrate
//function that integrates signal
public Vector<double> Integrate(Vector<double> signal_rr)
{
Vector<double> signal_integrated = Vector<double>.Build.Dense(signal_rr.Count(),0);
//Average
double rr_avg = signal_rr.Sum()/signal_rr.Count;
for (int i = 0; i < signal_rr.Count - 1; i++)
{
signal_integrated[0] = 0;
signal_integrated[i+1] = signal_rr[i] - rr_avg;
signal_integrated[i + 1] += signal_integrated[i];
signal_integrated[i+1] = Math.Abs(signal_integrated[i+1]);
}
return signal_integrated;
}示例6: ListHaarDWT
public List<Vector<double>> ListHaarDWT(Vector<double> signal, int n)
{
//Work just like wavedec but use only haar wavelet
// http://www.mathworks.com/help/wavelet/ref/wavedec.html
// [0] -> d1, [1] -> d2, ...
int decompSize = signal.Count();
double sqrt2 = Math.Sqrt(2);
Vector<double> outVec = Vector<double>.Build.Dense(decompSize);
Vector<double> signalTemp = signal;
List<Vector<double>> listOut = new List<Vector<double>>();
for (int i = 0; i < n; i++)
{
decompSize /= 2;
for (int dataInd = 0; dataInd < decompSize; dataInd++)
{
outVec[dataInd] = (signalTemp[2 * dataInd] + signalTemp[2 * dataInd + 1]) / sqrt2;
outVec[decompSize + dataInd] = (signalTemp[2 * dataInd] - signalTemp[2 * dataInd + 1]) / sqrt2;
}
signalTemp = outVec.SubVector(0, decompSize);
listOut.Add(outVec.SubVector(decompSize, decompSize));
}
return listOut;
}示例7: ListDWT
public List<Vector<double>> ListDWT(Vector<double> signal, int n, Wavelet_Type waveType)
{
double[] Hfilter = { 0 };
double[] Lfilter = { 0 };
int filterSize = 0;
//generated from wfilters Matlab function
switch (waveType)
{
case Wavelet_Type.haar:
return ListHaarDWT(signal, n);
case Wavelet_Type.db2:
Hfilter = new double []{ -0.482962913144690 , 0.836516303737469, -0.224143868041857 ,-0.129409522550921};
Lfilter = new double[] { -0.129409522550921, 0.224143868041857, 0.836516303737469, 0.482962913144690 };
filterSize = 4;
break;
case Wavelet_Type.db3:
Hfilter = new double[] { -0.332670552950957, 0.806891509313339, - 0.459877502119331, - 0.135011020010391, 0.0854412738822415, 0.0352262918821007 };
Lfilter = new double[] { 0.0352262918821007, - 0.0854412738822415, - 0.135011020010391, 0.459877502119331, 0.806891509313339, 0.332670552950957 };
filterSize = 6;
break;
}
int decompSize = signal.Count();
Vector<double> outVec = Vector<double>.Build.Dense(decompSize);
Vector<double> signalTemp = signal;
List<Vector<double>> listOut = new List<Vector<double>>();
for (int i = 0; i < n; i++)
{
decompSize /= 2;
for (int dataInd = 0; dataInd < decompSize; dataInd++)
{
outVec[dataInd] = 0;
outVec[decompSize + dataInd] = 0;
for( int filtIt = 0; filtIt < filterSize && (2*dataInd + filtIt) < signalTemp.Count ; filtIt++)
{
outVec[dataInd] += signalTemp[2 * dataInd + filtIt]*Lfilter[filterSize - filtIt - 1] ;
outVec[decompSize + dataInd] += signalTemp[2 * dataInd + filtIt]* Hfilter[filterSize - filtIt - 1];
}
}
signalTemp = outVec.SubVector(0, decompSize);
listOut.Add(outVec.SubVector(decompSize, decompSize));
}
return listOut;
}示例8: HaarDWT
public Vector<double> HaarDWT(Vector<double> signal, int n)
{
//Work just like wavedec but use only haar wavelet
// http://www.mathworks.com/help/wavelet/ref/wavedec.html
//lol
int decompSize = signal.Count();
double sqrt2 = Math.Sqrt(2);
Vector<double> outVec = Vector<double>.Build.Dense(decompSize);
Vector<double> signalTemp = signal;
for (int i = 0; i < n; i++)
{
decompSize /= 2;
for (int dataInd = 0; dataInd < decompSize; dataInd++)
{
outVec[dataInd] = (signalTemp[2 * dataInd] + signalTemp[2 * dataInd + 1]) / sqrt2;
outVec[decompSize + dataInd] = (signalTemp[2 * dataInd] - signalTemp[2 * dataInd + 1]) / sqrt2;
}
signalTemp = outVec.SubVector(0, decompSize);
}
return outVec;
}示例9: VectorCount
public void VectorCount()
{
Vector<Point> points = new Vector<Point>();
Assert.AreEqual(0, points.Count());
}示例10: CountObjects
public void CountObjects()
{
int[] localData = new int[4] { 3, 7, 5, 8 };
Vector<int> vector = new Vector<int>(localData);
Assert.AreEqual(4, vector.Count());
}示例11: LLTSolve
// this is from https://ece.uwaterloo.ca/~ece204/howtos/forward/ hehehh
private Vector LLTSolve(Matrix L, Vector b)
{
int i = 0;
int n = b.Count();
// forward sub to solve Lz = b
Vector z = Vector.Zeros(n);
for (i = 0; i < n; i++)
{
z[i] = (b[i] - (L.GetRowVector(i) * z)) / L[i, i];
}
// back sub to solve L'x = z
Vector x = Vector.Zeros(n);
var Lt = Matrix.Transpose(L);
for (i = n-1; i >= 0; i--)
{
x[i] = (z[i] - (Lt.GetRowVector(i) * x)) / Lt[i, i];
}
return x;
}