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Correlation

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Esiur Project 2022-11-06 20:42:01 +03:00
parent 2844eb60ec
commit 23f68b2dbb
2 changed files with 51 additions and 14 deletions
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10
Esiur.Analysis.Test/Program.cs
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@ -1,13 +1,23 @@
using System.Diagnostics;
using Esiur.Analysis.DSP;
namespace Esiur.Analysis.Test
{
internal static class Program
{
private const int V = -1;
/// <summary>
/// The main entry point for the application.
/// </summary>
[STAThread]
static void Main()
{
var signalA = new double[] { 1, 1, 1, V, 1, 1, V, V, 1, V, 1, V, V, V, V };
var signalB = new double[] { 1, V, V, V, V, 1, V, V, V, V, 1, V, V, V, V };
var cor = signalA.CrossCorrelation(signalB, true);
Debug.WriteLine(cor);
// To customize application configuration such as set high DPI settings or default font,
// see https://aka.ms/applicationconfiguration.
ApplicationConfiguration.Initialize();

55
Esiur.Analysis/DSP/Functions.cs
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@ -1,21 +1,22 @@
using System;
using System.Collections.Generic;
using System.Text;
using Esiur.Analysis.DSP;
namespace Esiur.Analysis.DSP
{
public static class Functions
{
public static double[] ConvolveMany(params double[][] signals)
public static double[] MultipleConvolution(params double[][] signals)
{
var rt = signals[0];
for (var i = 1; i < signals.Length; i++)
rt = rt.Convolve(signals[i]);
rt = rt.Convolution(signals[i]);
return rt;
}
public static double[] Convolve(this double[] signal, double[] filter)
public static double[] Convolution(this double[] signal, double[] filter)
{
var length = signal.Length + filter.Length - 1;
var rt = new double[length];
@ -37,20 +38,46 @@ namespace Esiur.Analysis.DSP
return rt;
}
public static double[] CrossCorrelate(this double[] signal, double[] filter)
public static double[] CrossCorrelation(this double[] signal, double[] filter, bool cyclic = false)
{
var length = signal.Length + filter.Length - 1;
var rt = new double[length];
for (var i = 0; i < length; i++)
{
for (var j = 0; j < signal.Length && j + i < filter.Length; j++)
{
rt[i] = signal[j] * filter[i + j];
}
}
return rt;
if (cyclic)
{
var length = signal.Length + filter.Length - 1;
var rt = new double[length];
for (var i = 0; i < length; i++)
{
for (var j = 0; j < signal.Length; j++)
{
rt[i] += signal[j] * filter[(i + j) % filter.Length];
}
}
return rt;
}
else
{
var length = signal.Length + filter.Length - 1;
var rt = new double[length];
for (var i = 0; i < length; i++)
{
for (var j = 0; j < signal.Length; j++)
{
if (i + j < filter.Length)
rt[i] += signal[j] * filter[i + j];
}
}
return rt;
}
}
public static double[] AutoCorrelation(this double[] signal, bool cyclic = false)
{
return signal.CrossCorrelation(signal, cyclic);
}
}
}