public void AutoFastNonNormalizedCorrelationTestMethod2()
{
FastCorrelation fc = new FastCorrelation();
var expectedOutput = UnitTestUtitlities.LoadSignal("TestingSignals/FastAutoCorrelationNonNormalized_TestCase.ds");
fc.InputSignal1 = UnitTestUtitlities.LoadSignal("TestingSignals/FastAutoCorrelation.ds");
fc.Run();
Assert.IsTrue(UnitTestUtitlities.SignalsSamplesAreEqual(expectedOutput.Samples, fc.OutputNonNormalizedCorrelation));
}
public void AutoFastNonNormalizedCorrelationTestMethod1()
{
FastCorrelation fc = new FastCorrelation();
var expectedOutput = new Signal(new List <float>()
{
0.50f, 0.25f, 0.00f, 0.25f
}, false);
fc.InputSignal1 = new Signal(new List <float>()
{
1, 0, 0, 1
}, true);
fc.Run();
Assert.IsTrue(UnitTestUtitlities.SignalsSamplesAreEqual(expectedOutput.Samples, fc.OutputNonNormalizedCorrelation));
}
public void CrossFastNonNormalizedCorrelationTestMethod1()
{
FastCorrelation fc = new FastCorrelation();
var expectedOutput = new Signal(new List <float>()
{
17.7500000f, 13.5000000f, 12.5000000f, 15.7500000f
}, false);
fc.InputSignal1 = new Signal(new List <float>()
{
4, 3, 1, 6
}, false);
fc.InputSignal2 = new Signal(new List <float>()
{
5, 2, 3, 7
}, false);
fc.Run();
Assert.IsTrue(UnitTestUtitlities.SignalsSamplesAreEqual(expectedOutput.Samples, fc.OutputNonNormalizedCorrelation));
}
public void CrossFastNormalizedCorrelationTestMethod1()
{
FastCorrelation fc = new FastCorrelation();
var expectedOutput = new Signal(new List <float>()
{
0.9667248f, 0.7352555f, 0.6807921f, 0.8577981f
}, false);
fc.InputSignal1 = new Signal(new List <float>()
{
4, 3, 1, 6
}, false);
fc.InputSignal2 = new Signal(new List <float>()
{
5, 2, 3, 7
}, false);
fc.Run();
Assert.IsTrue(UnitTestUtitlities.SignalsSamplesAreEqual(expectedOutput.Samples, fc.OutputNormalizedCorrelation));
}