public NoteContainer CreateNoteContainer(List <int> stringsToAnalyze, int tonesCount)
{
var noteContainer = new NoteContainer();
const int harmonicsCount = 3;
foreach (var stringNumber in stringsToAnalyze)
{
var stringFrequencies = GuitarTuningNotesCreator.GetStringFrequenciesRange(stringNumber, tonesCount);
var frequenciesToAnalyze = new List <float>(stringFrequencies);
for (int i = 0; i < harmonicsCount; i++)
{
var multiplier = MathF.Pow(2, i + 1);
frequenciesToAnalyze.AddRange(stringFrequencies.Select(v => v * multiplier));
}
foreach (var frequency in stringFrequencies)
{
}
}
var frequencies = GuitarTuningNotesCreator.GetStringsFrequencies(6);
var fft = new FastFourierTransformCPU(AudioContainer.Samples);
var scalogramCreator = new ScalogramCreator(AudioContainer, fft);
var scalogramContainer = scalogramCreator.CreateScalogram(frequencies);
foreach (var scalogram in scalogramContainer.Scalograms)
{
var localMaximumIndexes = new List <int>();
if (scalogram.Value[0] > scalogram.Value[1])
{
localMaximumIndexes.Add(0);
}
if (scalogram.Value[^ 1] > scalogram.Value[^ 2])
public WaveletTransformNumericalViewModel(SoundDataModel soundDataModel, ScalogramModel scalogramModel)
{
SoundDataModel = soundDataModel;
ScalogramModel = scalogramModel;
GenerateAnalysis = new DelegateCommand(() =>
{
var fft = new FastFourierTransformCPU(SoundDataModel.AudioContainer.Samples);
var scalogramCreator = new ScalogramCreator(SoundDataModel.AudioContainer, fft);
var frequencies = new List <float>
{
FrequencyToAnalyze
};
var scalogramContainer = scalogramCreator.CreateScalogram(frequencies, CyclesCount);
var list = new List <DataPoint>();
var n = 1;
foreach (var v in scalogramContainer.ScalogramValues)
{
list.Add(new DataPoint(n++, v));
}
Points = list;
});
AnalyzeNextFrequency = new DelegateCommand(() =>
{
FrequencyToAnalyze++;
GenerateAnalysis.Execute();
});
AnalyzePreviousFrequency = new DelegateCommand(() =>
{
FrequencyToAnalyze--;
GenerateAnalysis.Execute();
});
FrequencyToAnalyze = 1;
CyclesCount = 3;
}
