public void Load(string fileName, int fftLength, ShortTimeFourierTransform stft)
{
this.ShortTimeFourierTransform = stft;
Stop();
CloseFile();
EnsureDeviceCreated();
OpenFile(fileName, fftLength);
}
public STFTSampleProvider(ISampleProvider source, ShortTimeFourierTransform shortTimeFourierTransform, int fftLength = 1024)
{
if (!IsPowerOfTwo(fftLength))
{
throw new ArgumentException("FFT Length must be a power of two");
}
this.ShortTimeFourierTransform = shortTimeFourierTransform;
this.source = source;
}
public void DisplaySpectrogram(string filePath)
{
// analyser = new ShortTimeFourierTransform(filePath, double.Parse(fResolutionTxt.Text), double.Parse(timeStepTxt.Text));
analyser = new ShortTimeFourierTransform(filePath, int.Parse(fftSizeTxt.Text), double.Parse(timeStepTxt.Text));
spectrogram = new RainbowSpectrogram(analyser, int.Parse(textBox1.Text));
analyser.Ended += OnEnded;
OriginalBitmap = spectrogram.Generate();
pictureBox1.Image = (Bitmap)OriginalBitmap.Bitmap.Clone();
}
public RainbowSpectrogram(ShortTimeFourierTransform stft, int maxFrequency, double significantAmplitude = 80) : base(stft, maxFrequency)
{
this.SignificantAmplitude = significantAmplitude;
}
public Spectrogram(ShortTimeFourierTransform stft, int maxFrequency)
{
this.MaxFrequency = maxFrequency;
this.Analyser = stft;
this.TimedAnalyse = new List <SampleAnalysis[]>();
}
public LinearSpectrogram(ShortTimeFourierTransform stft, int maxFrequency) : base(stft, maxFrequency)
{
this.Colors = GetDefaultColors();
}
