fft.realForward(convData);
public void run() { for (int i = firstRow; i < lastRow; i++) { fftColumns.realForward(a, i * columns); } } });
/** * Compute the FFT of the values */ public void fft(){ this.fft.realForward(values); }
public void run() { for (long i = firstRow; i < lastRow; i++) { fftColumns.realForward(a, i * columnsl); } } });
public void run() { for (long i = firstRow; i < lastRow; i++) { fftColumns.realForward(a, i * columnsl); } } });
public void run() { for (int i = firstRow; i < lastRow; i++) { fftColumns.realForward(a[i]); } } });
public void run() { for (int i = firstRow; i < lastRow; i++) { fftColumns.realForward(a[i]); } } });
public void run() { for (int i = firstRow; i < lastRow; i++) { fftColumns.realForward(a, i * columns); } } });
array = new double[arraySize]; ... DoubleFFT_1D dfft = new DoubleFFT_1D(arraySize); dfft.realForward(array);
DoubleFFT_1D fft = new DoubleFFT_1D(reader.getSpectrum().getYvalues().length); DoubleFFT_1D ifft = new DoubleFFT_1D(reader.getSpectrum().getYvalues().length); fft.realForward(x); for (int i = 0; i < x.length/2; i++) { x[2*i] = Math.sqrt(Math.pow(x[2*i],2) + Math.pow(x[2*i+1],2)); x[2*i+1] = 0; } ifft.realInverse(x); for (int i = 1; i < x.length; i++) x[i] /= x[0]; x[0] = 1.0;
android.os.Process.setThreadPriority(android.os.Process.THREAD_PRIORITY_URGENT_AUDIO); AudioRecord ar = // initialize AudioRecord here; ar.startRecording(); // Here's the Fast Fourier Transform from JTransforms DoubleFFT_1D fft = new DoubleFFT_1D(samples.length); do { // Read audio to 'samples' array and convert it to double[] ar.read(samples, 0, samples.length); // Will store FFT in 'samplesD' fft.realForward(samplesD); } while ( /* condition */ ); ar.stop(); ar.release();
public static double[][] computeFreqMagPhase(double[] time, double[] data) { int n = time.length; if (data.length != n) throw new RuntimeException("input.length != n"); DoubleFFT_1D fft = new DoubleFFT_1D(n); double T = time[n - 1] - time[0]; double fftInput[] = copyDoubleArray(data); fft.realForward(fftInput); double[] magnitude = extractMagnitude(fftInput); double[] phase = extractPhaseRadians(fftInput); double[] frequency = new double[n / 2]; for (int i = 0; i < n / 2; i++) { frequency[i] = (i) / T; } return new double[][] { frequency, magnitude, phase }; }
public static double[][] computeFreqMagPhase(double[] time, double[] data) { int n = time.length; if (data.length != n) throw new RuntimeException("input.length != n"); DoubleFFT_1D fft = new DoubleFFT_1D(n); double T = time[n - 1] - time[0]; double fftInput[] = copyDoubleArray(data); fft.realForward(fftInput); double[] magnitude = extractMagnitude(fftInput); double[] phase = extractPhaseRadians(fftInput); double[] frequency = new double[n / 2]; for (int i = 0; i < n / 2; i++) { frequency[i] = (i) / T; } return new double[][] { frequency, magnitude, phase }; }
public static double[][] computeFreqMagPhase(double[] time, double[] data) { int n = time.length; if (data.length != n) throw new RuntimeException("input.length != n"); DoubleFFT_1D fft = new DoubleFFT_1D(n); double T = time[n - 1] - time[0]; double fftInput[] = copyDoubleArray(data); fft.realForward(fftInput); double[] magnitude = extractMagnitude(fftInput); double[] phase = extractPhaseRadians(fftInput); double[] frequency = new double[n / 2]; for (int i = 0; i < n / 2; i++) { frequency[i] = (i) / T; } return new double[][] { frequency, magnitude, phase }; }
public void run() { if (icr == 0) { if (isgn == -1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexForward(a, r * columns); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexInverse(a, r * columns, scale); } } } else if (isgn == 1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.realForward(a, r * columns); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.realInverse(a, r * columns, scale); } } } });
public void run() { if (icr == 0) { if (isgn == -1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexForward(a, r * columns); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexInverse(a, r * columns, scale); } } } else if (isgn == 1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.realForward(a, r * columns); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.realInverse2(a, r * columns, scale); } } } });
public void run() { if (icr == 0) { if (isgn == -1) { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.complexForward(a, r * columnsl); } } else { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.complexInverse(a, r * columnsl, scale); } } } else if (isgn == 1) { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.realForward(a, r * columnsl); } } else { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.realInverse(a, r * columnsl, scale); } } } });
public void run() { if (icr == 0) { if (isgn == -1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexForward(a[r]); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexInverse(a[r], scale); } } } else if (isgn == 1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.realForward(a[r]); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.realInverse(a[r], scale); } } } });
public void run() { if (icr == 0) { if (isgn == -1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexForward(a, r * columns); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.complexInverse(a, r * columns, scale); } } } else if (isgn == 1) { for (int r = n0; r < rows; r += nthreads) { fftColumns.realForward(a, r * columns); } } else { for (int r = n0; r < rows; r += nthreads) { fftColumns.realInverse(a, r * columns, scale); } } } });
public void run() { if (icr == 0) { if (isgn == -1) { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.complexForward(a, r * columnsl); } } else { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.complexInverse(a, r * columnsl, scale); } } } else if (isgn == 1) { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.realForward(a, r * columnsl); } } else { for (long r = n0; r < rowsl; r += nthreads) { fftColumns.realInverse2(a, r * columnsl, scale); } } } });