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); }