public void Allocate(int M, DataObjectElement[] outputData)
{
int N = 1 << M;
autoSpectrumLength = (int)(N / 2.56) + 1;
factor = 2.0 / N / N;
temp = new Complex[N];
hanning = new double[N];
for (int i = 0; i < N; i++)
{
hanning[i] = (1 - Math.Cos(2 * Math.PI / N * i));
}
timeSignal = new double[N];
instSpectrum = new Complex[N];
autoSpectrum = new double[autoSpectrumLength];
autocorrelation = new double[N];
outputData[(int)FftSignal.Timesignal].data = timeSignal;
outputData[(int)FftSignal.InstSpectrum].data = instSpectrum;
outputData[(int)FftSignal.AutoSpectrum].data = autoSpectrum;
outputData[(int)FftSignal.Autocorrelation].data = autocorrelation;
pCount = outputData[(int)FftSignal.Count];
fft = new FFT();
fft.Free();
fft.Init(M, FFTFactor.IPP_FFT_DIV_INV_BY_N);
}
public FftAdapter()
{
setup = new FftAdapterSetup();
queue = new Queue <double[]>();
calculations = new Calculations(queue);
output = new DataObject();
outputData = new DataObjectElement[1];
outputData[0] = new DataObjectElement("", 0);
output.dataElements = outputData;
}
public DetectorBank()
{
setup = new DetectorBankSetup();
calculations = new Calculations();
output = new DataObject();
outputData = new DataObjectElement[2];
outputData[0] = new DataObjectElement("Exponential", 0);
outputData[1] = new DataObjectElement("Linear", 1);
output.dataElements = outputData;
}
public Afilter()
{
calculations = new Calculations();
setup = new AfilterSetup();
AFilterCoefficients();
output = new DataObject();
outputData = new DataObjectElement[1];
outputData[0] = new DataObjectElement("", 0);
output.dataElements = outputData;
}
public Upsampling()
{
upFactor = 16;
downFactor = 15;
calculations = new Calculations(upFactor, downFactor);
setup = new UpsamplingSetup();
output = new DataObject();
outputData = new DataObjectElement[1];
outputData[0] = new DataObjectElement("", 0);
output.dataElements = outputData;
}
public BBDetector()
{
BBDetectorSetup bb = new BBDetectorSetup();
calculations = new Calculations();
setup = new BBDetectorSetup();
detector = new Detector();
output = new DataObject();
outputData = new DataObjectElement[2];
outputData[0] = new DataObjectElement("Exponential", 0);
outputData[1] = new DataObjectElement("Linear", 1);
output.dataElements = outputData;
}
public FftAnalysis()
{
setup = new FftSetup();
calculations = new Calculations();
output = new DataObject();
outputData = new DataObjectElement[5];
outputData[0] = new DataObjectElement("Time", 0);
outputData[1] = new DataObjectElement("Inst", 1);
outputData[2] = new DataObjectElement("Autospectrum", 2);
outputData[3] = new DataObjectElement("Autocorrelation", 3);
outputData[4] = new DataObjectElement("Count", 4);
output.dataElements = outputData;
}
public void Allocate(int nfilters, DataObject outputObj)
{
outputData = new DataObjectElement[nfilters + 1];
for (int i = 0; i < outputData.Length - 1; i++)
{
if (filterBank.filterType == OctaveFilterType.ThirdOctave)
{
outputData[i] = new DataObjectElement(DisplayComponent.cpb3Freq[i + filterBank.lowIndex], i);
}
else
{
outputData[i] = new DataObjectElement(DisplayComponent.cpb1Freq[i + filterBank.lowIndex], i);
}
}
outputData[outputData.Length - 1] = new DataObjectElement("All", outputData.Length - 1);
outputObj.dataElements = outputData;
output = new double[nfilters][];
outputData[nfilters].data = output;
}
