/* Fast Fourier Transformation (FFT) * * (C) 2016 by Andreas Eversberg * All Rights Reserved * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ #include #include #include "fft.h" /* * Code based closely to work by Paul Bourke * * This computes an in-place complex-to-complex FFT * x and y are the real and imaginary arrays of 2^m points. * dir = 1 gives forward transform * dir = -1 gives reverse transform */ void fft_process(int dir, int m, double *x, double *y) { int n, i, i1, j, k, i2, l, l1, l2; double c1, c2, tx, ty, t1, t2, u1, u2, z; /* Calculate the number of points */ n = 1 << m; /* Do the bit reversal */ i2 = n >> 1; j = 0; for (i = 0; i < n - 1; i++) { if (i < j) { tx = x[i]; ty = y[i]; x[i] = x[j]; y[i] = y[j]; x[j] = tx; y[j] = ty; } k = i2; while (k <= j) { j -= k; k >>= 1; } j += k; } /* Compute the FFT */ c1 = -1.0; c2 = 0.0; l2 = 1; for (l = 0; l < m; l++) { l1 = l2; l2 <<= 1; u1 = 1.0; u2 = 0.0; for (j = 0; j < l1; j++) { for (i = j; i < n; i += l2) { i1 = i + l1; t1 = u1 * x[i1] - u2 * y[i1]; t2 = u1 * y[i1] + u2 * x[i1]; x[i1] = x[i] - t1; y[i1] = y[i] - t2; x[i] += t1; y[i] += t2; } z = u1 * c1 - u2 * c2; u2 = u1 * c2 + u2 * c1; u1 = z; } c2 = sqrt((1.0 - c1) / 2.0); if (dir == 1) c2 = -c2; c1 = sqrt((1.0 + c1) / 2.0); } /* Scaling for forward transform */ if (dir == 1) { for (i = 0; i < n; i++) { x[i] /= n; y[i] /= n; } } }