esiur/esiur-dotnet
2
0
Fork 0
mirror of https://github.com/esiur/esiur-dotnet.git synced 2025-05-06 11:32:59 +00:00
Code Issues Projects Releases Wiki Activity

Correlation

Browse Source
This commit is contained in:
Esiur Project 2022-11-06 20:42:01 +03:00
parent 2844eb60ec
commit 23f68b2dbb
2 changed files with 51 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
Esiur.Analysis.Test/Program.cs
View File

@ -1,13 +1,23 @@
using System.Diagnostics;
using Esiur.Analysis.DSP;
namespace Esiur.Analysis.Test namespace Esiur.Analysis.Test
{ {
internal static class Program internal static class Program
{ {
private const int V = -1;
/// <summary> /// <summary>
/// The main entry point for the application. /// The main entry point for the application.
/// </summary> /// </summary>
[STAThread] [STAThread]
static void Main() 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, // To customize application configuration such as set high DPI settings or default font,
// see https://aka.ms/applicationconfiguration. // see https://aka.ms/applicationconfiguration.
ApplicationConfiguration.Initialize(); ApplicationConfiguration.Initialize();

55
Esiur.Analysis/DSP/Functions.cs
View File

@ -1,21 +1,22 @@
using System; using System;
using System.Collections.Generic; using System.Collections.Generic;
using System.Text; using System.Text;
using Esiur.Analysis.DSP;
namespace Esiur.Analysis.DSP namespace Esiur.Analysis.DSP
{ {
public static class Functions public static class Functions
{ {
public static double[] ConvolveMany(params double[][] signals) public static double[] MultipleConvolution(params double[][] signals)
{ {
var rt = signals[0]; var rt = signals[0];
for (var i = 1; i < signals.Length; i++) for (var i = 1; i < signals.Length; i++)
rt = rt.Convolve(signals[i]); rt = rt.Convolution(signals[i]);
return rt; 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 length = signal.Length + filter.Length - 1;
var rt = new double[length]; var rt = new double[length];
@ -37,20 +38,46 @@ namespace Esiur.Analysis.DSP
return rt; 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);
}
} }
} }