/* A program to test 2d complex forward and inverse fast fourier transform routines */ #include /* uses fourn from numerical recipes in C to verify ifft2d */ /*change fmin in numerical recipes to fminnr to avoid conflict with fp.h */ #include #include #include #include #include "fftlib.h" #include "fftext.h" #include "fft2d.h" #if macintosh #include #endif #define NSIZES 24 /* the number of different ffts col sizes to test */ #define BIPRAND(a) (2.0/(RAND_MAX+1.0)*a-1.0) //#define BIPRAND(a) round(100*(2.0/(RAND_MAX+1.0)*a-1.0)) typedef struct{ float Re; float Im; } Complex; void main(){ long fftSize[NSIZES] = /* size of FFTs cols, must be powers of 2 */ {2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384, 32768, 65536, 131072, 262144, 524288, 1048576, 2097152, 4194304, 8388608, 16777216}; Complex *a1; long N2 = 64; /* the number of rows in the 2d fft */ long isize; long i1; long TheErr; long N; long M; long M2; float maxerrifft; float maxerrfft; unsigned long nn[2]; unsigned int randseed = 777; int rannum; #if macintosh UnsignedWide TheTime1; Microseconds(&TheTime1); randseed = TheTime1.lo; #endif printf(" %6d Byte Floats \n", sizeof(a1[0].Re)); printf(" randseed = %10u\n", randseed); for (isize = 0; isize < NSIZES; isize++){ srand(randseed); N = fftSize[isize]; M = roundtol(LOG2(N)); N = POW2(M); M2 = roundtol(LOG2(N2)); N2 = POW2(M2); printf("ffts size = %6d X%6d, ", N2, N); nn[0] = N2; nn[1] = N; TheErr = fft2dInit(M2, M); if(!TheErr){ a1 = (Complex *) malloc(N2*N*sizeof(Complex) ); if (a1 == 0) TheErr = 2; } if(!TheErr){ /* set up a simple test case */ for (i1=0; i1