public int[][] InverseDCT(int[][] matrix)
{
var sourceDouble = new double[size][];
for (var i = 0; i < size; i++)
{
sourceDouble[i] = new double[size];
for (var j = 0; j < size; j++)
{
sourceDouble[i][j] = matrix[i][j] * 1.0;
}
}
var temp = Mt.MultiplyBy(sourceDouble, size);
var temp2 = temp.MultiplyBy(M, size);
var ans = new int[size][];
for (var i = 0; i < size; i++)
{
ans[i] = new int[size];
for (var j = 0; j < size; j++)
{
ans[i][j] = (int)temp2[i][j];
}
}
return(ans);
}
public static Complex[] RealFastFourierTransform(double[] src, double amplitude = 1.0)
{
int n4 = 1 << (Mt.Log2Int(src.Length) - 2);
int n = n4 * 4, n2 = n4 * 2, n3 = n4 * 3;
int n2mask = n2 - 1;
Complex[] Data = new Complex[n2 + 1];
for (int i = n2; --i >= 0;)
{
Data[i] = new Complex(src[i * 2], src[i * 2 + 1]);
}
Complex[] Dst = FastFourierTransform_(Data, true);
TriangularTable Triangle = TriangularTable.Get(n);
for (int i = n4; i >= 0; --i)
{
int j = n2 - i;
Complex g1 = Dst[i];
Complex g2 = Complex.Conjugate(Dst[j & n2mask]);
Complex h1 = (g1 + g2);
Complex h2 = (g1 - g2) * Triangle.Complex(n3 - i);
Data[i] = (h1 + h2);
Data[j] = Complex.Conjugate(h1 - h2);
}
LetMul(Data, amplitude / 2);
return(Data);
}
public static double[] GetDataWindow(DataWindowType type, int size)
{
double[] Table = new double[size];
Table = new double[size];
double h = 2 * Math.PI / (size - 1);
switch (type)
{
case DataWindowType.Box:
for (int i = size; --i >= 0;)
{
Table[i] = 1;
}
break;
case DataWindowType.Hanning:
for (int i = size; --i >= 0;)
{
Table[i] = 0.50 - 0.50 * Math.Cos(h * i);
}
break;
case DataWindowType.Hamming:
for (int i = size; --i >= 0;)
{
Table[i] = 0.54 - 0.46 * Math.Cos(h * i);
}
break;
case DataWindowType.Blackman:
for (int i = size; --i >= 0;)
{
Table[i] = 0.42 - 0.50 * Math.Cos(h * i) + 0.08 * Math.Cos(2 * h * i);
}
break;
case DataWindowType.Parzen:
for (int i = size; --i >= 0;)
{
Table[i] = 1.0 - Math.Abs((i * 2 - (size - 1)) / (double)(size + 1));
}
break;
case DataWindowType.Welch:
for (int i = size; --i >= 0;)
{
Table[i] = 1.0 - Mt.Sq((i * 2 - (size - 1)) / (double)(size + 1));
}
break;
}
//double c = Math.Sqrt(n / Table.Sum(x => Sq(x)));
//for (int i = n; --i >= 0; ) Table[i] *= c;
return(Table);
}
// Power Spectral Densityを求めたい。nの増加に伴いそれぞれの周波数カラムの幅(Δf)は狭くなるため、結果のData値は増加する
// ΣResult != 単位時間辺りのpower
// ∫Result df = 単位時間辺りのpower
// y=a*sin(x) の結果は、a*a*n/2 振幅はa/2でパワーはa*a/4、one-sidedなので2倍してa*a/2、nは上記
// これは (1/n)*Σ(y*y) の結果と一致する
// y=a の結果は a*a*n
public static double[] PowerSpectrumFFT(double[] data, double amplitude)
{
Complex[] Freq = RealFastFourierTransform(data, Math.Sqrt(2 * amplitude / data.Length));
double[] Powr = new double[Freq.Length];
for (int i = Powr.Length; --i >= 0;)
{
Powr[i] = Mt.Sq(Freq[i].Real) + Mt.Sq(Freq[i].Imaginary);
}
Powr[0] /= 2;
Powr[Powr.Length - 1] /= 2;
return(Powr);
}
public static Complex[] PowerPhaseSpectrumFFT(double[] data, double amplitude)
{
Complex[] Freq = RealFastFourierTransform(data, Math.Sqrt(2 * amplitude / data.Length));
Complex[] Powr = new Complex[Freq.Length];
for (int i = Powr.Length; --i >= 0;)
{
Powr[i] = new Complex(Mt.Sq(Freq[i].Real) + Mt.Sq(Freq[i].Imaginary), Freq[i].Phase);
}
var a = Powr[0]; Powr[0] = new Complex(a.Real / 2, a.Imaginary);
var b = Powr[Powr.Length - 1]; Powr[Powr.Length - 1] = new Complex(b.Real / 2, b.Imaginary);
return(Powr);
}
private bool DeleteHorizontalLine(int chartId = 0, string name = "HLine")
{
Mt.ResetLastError();
if (Mt.ObjectDelete(chartId, name))
{
return(true);
}
else
{
Console.WriteLine(Mt.GetLastError());
return(false);
}
}
private bool MoveHorizontalLine(int chartId = 0, string name = "HLine", double price = 0)
{
Mt.ResetLastError();
if (Mt.ObjectMove(chartId, name, 0, DateTime.Now, price))
{
return(true);
}
else
{
Console.WriteLine(Mt.GetLastError());
return(false);
}
}
public static BigInteger GreatestCommonDivisor(BigInteger val1, BigInteger val2)
{
while (true)
{
if (val1 < val2)
{
Mt.Swap(ref val1, ref val2);
}
var z = BigInteger.Remainder(val1, val2);
if (z == 0)
{
break;
}
val1 = z;
}
return(val2);
}
public void Start()
{
var subscribeResult = Finex.SubscribeToTickerUpdates("tBTCUSD", data =>
{
var mid = (data.Ask + data.Bid) / 2;
if (Mt.ConnectionState != Mt5ConnectionState.Connected &&
Mt.ConnectionState != Mt5ConnectionState.Connecting)
{
Mt.BeginConnect(8228);
}
else if (Mt.ConnectionState == Mt5ConnectionState.Connected)
{
Console.WriteLine($"Move line to ${mid}");
MoveHorizontalLine(0, "HLine", (double)mid);
}
});
}
protected override bool ExecuteParent(ArraySegment <string> arguments, ICommandSender sender, out string response)
{
EventHandlers.LogCommandUsed((CommandSender)sender, EventHandlers.FormatArguments(arguments, 0));
StringBuilder ListBuilder = new StringBuilder();
ListBuilder.Append("Here are the following enums you can use in commands:\n\nBreakType: ");
foreach (BreakType Bt in Enum.GetValues(typeof(BreakType)))
{
ListBuilder.Append(Bt.ToString());
ListBuilder.Append(" ");
}
ListBuilder.AppendLine();
ListBuilder.Append("MoveType: ");
foreach (MoveType Mt in Enum.GetValues(typeof(MoveType)))
{
ListBuilder.Append(Mt.ToString());
ListBuilder.Append(" ");
}
ListBuilder.AppendLine();
ListBuilder.Append("GrenadeType: ");
foreach (GrenadeType Gt in Enum.GetValues(typeof(GrenadeType)))
{
ListBuilder.Append(Gt.ToString());
ListBuilder.Append(" ");
}
ListBuilder.AppendLine();
ListBuilder.Append("VectorAxis: ");
foreach (VectorAxis Va in Enum.GetValues(typeof(VectorAxis)))
{
ListBuilder.Append(Va.ToString());
ListBuilder.Append(" ");
}
ListBuilder.AppendLine();
ListBuilder.Append("PositionModifier: ");
foreach (PositionModifier Pm in Enum.GetValues(typeof(PositionModifier)))
{
ListBuilder.Append(Pm.ToString());
ListBuilder.Append(" ");
}
string message = ListBuilder.ToString();
ListBuilder.Clear();
response = message;
return(true);
}
//-------------------------------------------------------------------------------------
#region Parts
//-------------------------------------------------------------
//0埋め
private static double[] zeroInserting(double[] data)
{
int size = data.Length;
int fixed_size = 1 << Mt.Log2Int(size) + 1;
if (fixed_size > size)
{
double[] outdata = new double[fixed_size];
for (int i = 0; i < size; i++)
{
outdata[i] = data[i];
}
return(outdata);
}
else
{
return(data);
}
}
private bool CreateHorizontalLine(int chartId = 0, string name = "HLine", int subWindow = 0,
double price = 0, long color = 16777215, long style = 0, int width = 1, bool back = false, bool selection = true,
bool hidden = false,
long zOrder = 0)
{
if (Mt.ObjectCreate(chartId, name, ENUM_OBJECT.OBJ_HLINE, subWindow, DateTime.Now, price))
{
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_COLOR, color);
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_STYLE, style);
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_WIDTH, width);
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_BACK, back ? 1 : 0);
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_SELECTABLE, selection ? 1 : 0);
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_SELECTED, selection ? 1 : 0);
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_HIDDEN, hidden ? 1 : 0);
Mt.ObjectSetInteger(chartId, name, ENUM_OBJECT_PROPERTY_INTEGER.OBJPROP_ZORDER, zOrder);
return(true);
}
else
{
Console.WriteLine(Mt.GetLastError());
return(false);
}
}
static Complex[] FastFourierTransform_(Complex[] src, bool sw)
{
int l = Mt.Log2Int(src.Length);
int n = 1 << l;
Complex[] Data = new Complex[n];
for (int j = -(n >> 1), i = 0; i < n; i++)
{
int k = n;
while ((k >>= 1) <= j)
{
j -= k;
}
j += k;
Data[i] = src[j];
}
int sign = sw ? -1 : 1;
TriangularTable Triangle = TriangularTable.Get(n);
for (int m = 0; m < l; m++)
{
int step = 1 << m;
int rotw = sign * (1 << (l - 1 - m));
for (int k = 0; k < step; k++)
{
Complex u = Triangle.Complex(rotw * k); // (2 * Math.PI / n) * rotw * k
for (int i = k; i < n; i += step * 2)
{
Complex t = Data[i + step] * u;
Data[i + step] = Data[i] - t;
Data[i] += t;
}
}
}
return(Data);
}
//-------------------------------------------------------------------------------------
//STFT（短時間フーリエ変換）
public static Complex[,] STFT(double[] source_data, int window_size)
{
Complex[,] output;
int source_length = source_data.Length; //入力データ長
int T_step; //時間ステップ数
int F_step; //周波数ステップ数
int fft_start_point = 0; //fftをするスタート点
double window_power = powerOfwindow(window_size); //窓関数のパワー WN
T_step = (int)((source_length - window_size) / window_power) - 1;
int n4 = 1 << (Mt.Log2Int(window_size) - 2);
int n = n4 * 4, n2 = n4 * 2;
F_step = n2 + 1;
output = new Complex[F_step, T_step];
for (int t = 0; t < T_step; t++)
{
double[] data = new double[window_size];
fft_start_point = (int)window_power * t;
for (int i = 0; i < window_size; i++)
{
data[i] = source_data[fft_start_point + i];
}
data = windowing(data);
Complex[] fft = Nm.RealFastFourierTransform(data);
for (int f = 0; f < F_step; f++)
{
output[f, t] = fft[f];
}
}
return(output);
}
public static double[] RealFastFourierTransform(Complex[] src, double amplitude = 1.0)
{
int n4 = 1 << (Mt.Log2Int(src.Length) - 1);
int n = n4 * 4, n2 = n4 * 2, n3 = n4 * 3;
int n2mask = n2 - 1;
Complex[] Data = new Complex[n2];
TriangularTable Triangle = TriangularTable.Get(n);
for (int i = n4; i >= 0; --i)
{
int j = n2 - i;
Complex g1 = src[i];
Complex g2 = Complex.Conjugate(src[j]);
Complex h1 = (g1 + g2);
Complex h2 = (g1 - g2) * Triangle.Complex(n4 + i);
Data[i] = (h1 + h2);
Data[j & n2mask] = Complex.Conjugate(h1 - h2);
}
Data = FastFourierTransform_(Data, false);
LetMul(Data, amplitude / n);
double[] Dst = New.Array(n, i => (i & 1) == 0 ? Data[i / 2].Real : Data[i / 2].Imaginary);
return(Dst);
}
