快速傅里叶变换(fft)及其逆变换(iff)的c代码实现
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#define float sample_t // data的长度为n,必须是2的指数倍,result的长度为2n,其中奇数项保存实数,偶数项保存的是虚数 int fft(sample_t *data, int sample_number, sample_t *result) { // 需要给奇数部分填充虚数0 for(int i = 0; i < sample_number; ++i) { result[2*i] = data[i]; result[2*i+1] = 0; } int flag = 1; flag = fft_ifft_implement(result, sample_number, flag); return flag; } // data的长度是2n,result的长度为n,n必须是2的指数倍 int ifft(sample_t *data, int sample_number, sample_t *result) { int flag = -1; flag = fft_ifft_implement(data, sample_number, flag); // 奇数部分是虚数,需要舍弃 for (int i = 0; i < sample_number; i++) { result[i] = data[2*i] / sample_number; } return flag; } static int fft_ifft_implement(sample_t *data, int sample_number, int flag) { // 判断样本个数是不是2的指数倍,如果不是能否补零成指数倍? sample_t number_log = log(sample_number) / log(2); int mmax = 2, j=0; int n = sample_number<<1; int istep, m; sample_t theta, wtemp, wpr, wpi, wr, wi, tempr, tempi; if (((int)number_log - number_log) != 0) { return 0; } for(int i = 0; i < n-1; i=i+2) { if(j > i) { swap(data, j ,i); swap(data, j + 1 ,i + 1); } m = n / 2; while(m >= 2 && j >= m) { j = j - m; m = m / 2; } j = j + m; } while(n > mmax) { istep = mmax<<1; theta = -2 * PI / (flag * mmax); wtemp = sin(0.5 * theta); wpr = -2.0 * wtemp * wtemp; wpi = sin(theta); wr = 1.0; wi = 0.0; for(int m = 1; m < mmax; m = m + 2) { for(int i = m; i < n + 1; i = i + istep) { int j = i + mmax; tempr = wr * data[j-1] - wi * data[j]; tempi = wr * data[j] + wi * data[j-1]; data[j-1] = data[i-1] - tempr; data[j] = data[i] - tempi; data[i-1] += tempr; data[i] += tempi; } wtemp = wr; wr += wr * wpr - wi * wpi; wi += wi * wpr + wtemp * wpi; } mmax = istep; } return 1; } static void swap(sample_t *data ,int m, int n) { sample_t temp = data[m]; data[m] = data[n]; data[n] = temp; }
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