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; }