Ejemplo n.º 1
0
        protected override void OnSettingsChanged(SettingsChangedEventArgs e)
        {
            if (settings.InputDataDimensions <= 0)
            {
                throw new ArgumentException("The dimensions of the moving average must be 1 or more.", "InputDataDimensions");
            }

            valuesToAverage = new float[settings.InputDataDimensions][];
            for (int j = 0; j < settings.InputDataDimensions; j++)
            {
                valuesToAverage[j] = new float[settings.MovingAverageLength];
            }
        }
Ejemplo n.º 2
0
 protected override void OnSettingsChanged(SettingsChangedEventArgs e)
 {
     valuesToMeasure = new float[settings.SampleCount];
 }
Ejemplo n.º 3
0
        protected override void OnSettingsChanged(SettingsChangedEventArgs e)
        {
            while (isProcessing)
            {
                Thread.Sleep(100);
            }

            int n = settings.FFTSampleCount;

            timeDomainData      = new float[settings.FFTSampleCount];
            frequencyDomainData = new float[settings.FFTSampleCount];

            // n*2 because we are dealing with complex numbers
            complexInput  = new float[n * 2];
            complexOutput = new float[n * 2];

            try
            {
                mfin  = new fftwf_complexarray(complexInput);
                mfout = new fftwf_complexarray(complexOutput);
            }
            catch (DllNotFoundException)
            {
                Console.WriteLine("DllNotFoundException: You must copy the native FFTW DLLs (libfftw3-3.dll, libfftw3f-3.dll, libfftw3l-3.dll) into the working directory.");
                throw;
            }
            catch (BadImageFormatException)
            {
                Console.WriteLine("BadImageFormatException: This normally means, that you're loading a 32bit DLL into a 64bit process or vice versa.");
                throw;
            }

            plan = fftwf_plan.dft_1d(n, mfin, mfout,
                                     settings.IsBackward ? fftw_direction.Backward : fftw_direction.Forward,
                                     settings.PlanningRigor == FFTPlanningRigor.Estimate ? fftw_flags.Estimate :
                                     settings.PlanningRigor == FFTPlanningRigor.Measure ? fftw_flags.Measure :
                                     settings.PlanningRigor == FFTPlanningRigor.Patient ? fftw_flags.Patient :
                                     fftw_flags.Estimate);

            switch (settings.OutputFormat)
            {
            case FFTOutputFormat.Raw:
                this.OutputBlockSize = settings.FFTSampleCount * 2;
                break;

            case FFTOutputFormat.RealImaginaryPair:
                this.OutputBlockSize = settings.FFTSampleCount;
                break;

            case FFTOutputFormat.RealOnly:
                this.OutputBlockSize = settings.FFTSampleCount / 2;
                break;

            case FFTOutputFormat.Magnitude:
                this.OutputBlockSize = settings.FFTSampleCount / 2;
                break;

            case FFTOutputFormat.FrequencyMagnitudePair:
                this.OutputBlockSize = settings.FFTSampleCount;
                break;

            default:
                throw new ArgumentException("The FFT's output format is not supported.", "FFTOutputFormat");
            }
        }
 protected virtual void OnSettingsChanged(SettingsChangedEventArgs e)
 {
     SettingsChanged?.Invoke(this, e);
 }