public void CutLogarithmizedSpectrumOfJustOneFingerprintTest()
{
var stride = new StaticStride(0, 0);
var configuration = new DefaultSpectrogramConfig { Stride = stride };
int logSpectrumLength = configuration.ImageLength; // 128
var logSpectrum = GetLogSpectrum(logSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, configuration);
Assert.AreEqual(1, cutLogarithmizedSpectrum.Count);
}
public void CutLogarithmizedSpectrumOfJustOneFingerprintTest()
{
DefaultFingerprintConfiguration config = new DefaultFingerprintConfiguration();
int logSpectrumLength = config.FingerprintLength; // 128
var stride = new StaticStride(0, 0);
var logSpectrum = new float[logSpectrumLength][];
for (int i = 0; i < logSpectrumLength; i++)
{
logSpectrum[i] = new float[32];
}
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, stride, config.FingerprintLength, config.Overlap);
Assert.AreEqual(1, cutLogarithmizedSpectrum.Count);
}
public void CutLogarithmizedSpectrumTest()
{
var stride = new StaticStride(0, 0);
var configuration = new CustomSpectrogramConfig { Stride = stride };
const int LogSpectrumLength = 1024;
var logSpectrum = GetLogSpectrum(LogSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, configuration);
Assert.AreEqual(8, cutLogarithmizedSpectrum.Count);
double lengthOfOneFingerprint = (double)configuration.ImageLength * configuration.Overlap / SampleRate;
for (int i = 0; i < cutLogarithmizedSpectrum.Count; i++)
{
Assert.IsTrue(
System.Math.Abs(cutLogarithmizedSpectrum[i].Timestamp - (i * lengthOfOneFingerprint)) < Epsilon);
}
}
public void CustomValuesAreSetOnFingerprintConfiguration()
{
var staticStride = new StaticStride(2048);
var customConfiguration = new CustomFingerprintConfiguration
{
FingerprintLength = 256,
LogBase = 4,
LogBins = 46,
MaxFrequency = 22050,
MinFrequency = 5512,
NormalizeSignal = true,
NumberOfLSHTables = 30,
NumberOfMinHashesPerTable = 4,
Overlap = 32,
SampleRate = 10024,
Stride = staticStride,
TopWavelets = 250,
UseDynamicLogBase = true,
WdftSize = 4048
};
Assert.AreEqual(256, customConfiguration.FingerprintLength);
Assert.AreEqual(4, customConfiguration.LogBase);
Assert.AreEqual(46, customConfiguration.LogBins);
Assert.AreEqual(22050, customConfiguration.MaxFrequency);
Assert.AreEqual(5512, customConfiguration.MinFrequency);
Assert.IsTrue(customConfiguration.NormalizeSignal);
Assert.AreEqual(30, customConfiguration.NumberOfLSHTables);
Assert.AreEqual(4, customConfiguration.NumberOfMinHashesPerTable);
Assert.AreEqual(32, customConfiguration.Overlap);
Assert.AreEqual(10024, customConfiguration.SampleRate);
Assert.AreEqual(staticStride, customConfiguration.Stride);
Assert.AreEqual(250, customConfiguration.TopWavelets);
Assert.IsTrue(customConfiguration.UseDynamicLogBase);
Assert.AreEqual(4048, customConfiguration.WdftSize);
}
public void StaticStrideClassTest()
{
const int Value = 5115;
StaticStride stride = new StaticStride(Value);
Assert.AreEqual(Value, stride.NextStride);
}
public void CutLogarithmizedSpectrumWithSpectrumWhichIsLessThanMinimalLengthOfOneFingerprintTest()
{
var stride = new StaticStride(0, 0);
var config = new CustomSpectrogramConfig { Stride = stride };
int logSpectrumLength = config.ImageLength - 1;
var logSpectrum = GetLogSpectrum(logSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, config);
Assert.AreEqual(0, cutLogarithmizedSpectrum.Count);
}
