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/*
* Copyright (c) 2002, 2017 Jens Keiner, Stefan Kunis, Daniel Potts
*
* 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 2 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, write to the Free Software Foundation, Inc., 51
* Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
/**
* \file polarFFT/mpolar_fft_test.c
* \brief NFFT-based polar FFT and inverse on modified polar grid.
*
* Computes the NFFT-based polar FFT and its inverse
* on a modified polar grid for various parameters.
* \author Markus Fenn
* \date 2006
*/
#include <math.h>
#include <stdlib.h>
#include <complex.h>
#define @NFFT_PRECISION_MACRO@
#include "nfft3mp.h"
/**
* \defgroup applications_polarFFT_mpolar mpolar_fft_test
* \ingroup applications_polarFFT
* \{
*/
NFFT_R GLOBAL_elapsed_time;
/** Generates the points \f$x_{t,j}\f$ with weights \f$w_{t,j}\f$
* for the modified polar grid with \f$T\f$ angles and \f$R\f$ offsets.
*
* We add more concentric circles to the polar grid
* and exclude those nodes not located in the unit square, i.e.,
* \f[
* x_{t,j} := r_j\left(\cos\theta_t, \sin\theta_t\right)^{\top}\,,\qquad
* (j,t)^{\top}\in I_{\sqrt{2}R}\times I_T\,.
* \f]
* with \f$r_j\f$ and \f$\theta_t\f$ as for the polar grid.
* The number of nodes for the modified polar grid can be estimated as
* \f$M \approx \frac{4}{\pi}\log(1+\sqrt{2}) T R\f$.
*/
static int mpolar_grid(int T, int S, NFFT_R *x, NFFT_R *w)
{
int t, r;
NFFT_R W;
int R2 = 2 * (int)(NFFT_M(lrint)(NFFT_M(ceil)(NFFT_M(sqrt)(NFFT_K(2.0)) * (NFFT_R)(S) / NFFT_K(2.0))));
NFFT_R xx, yy;
int M = 0;
for (t = -T / 2; t < T / 2; t++)
{
for (r = -R2 / 2; r < R2 / 2; r++)
{
xx = (NFFT_R) (r) / (NFFT_R)(S) * NFFT_M(cos)(NFFT_KPI * (NFFT_R)(t) / (NFFT_R)(T));
yy = (NFFT_R) (r) / (NFFT_R)(S) * NFFT_M(sin)(NFFT_KPI * (NFFT_R)(t) / (NFFT_R)(T));
if (((-NFFT_K(0.5) - NFFT_K(1.0) / (NFFT_R) S) <= xx) & (xx <= (NFFT_K(0.5) + NFFT_K(1.0) / (NFFT_R) S))
& ((-NFFT_K(0.5) - NFFT_K(1.0) / (NFFT_R) S) <= yy)
& (yy <= (NFFT_K(0.5) + NFFT_K(1.0) / (NFFT_R) S)))
{
x[2 * M + 0] = xx;
x[2 * M + 1] = yy;
if (r == 0)
w[M] = NFFT_K(1.0) / NFFT_K(4.0);
else
w[M] = NFFT_M(fabs)((NFFT_R) r);
M++; /** count the knots */
}
}
}
/** normalize the weights */
W = NFFT_K(0.0);
for (t = 0; t < M; t++)
W += w[t];
for (t = 0; t < M; t++)
w[t] /= W;
return M; /** return the number of knots */
}
/** discrete mpolar FFT */
static int mpolar_dft(NFFT_C *f_hat, int NN, NFFT_C *f, int T, int S, int m)
{
double t0, t1;
int j, k; /**< index for nodes and freqencies */
NFFT(plan) my_nfft_plan; /**< plan for the nfft-2D */
NFFT_R *x, *w; /**< knots and associated weights */
int N[2], n[2];
int M; /**< number of knots */
N[0] = NN;
n[0] = 2 * N[0]; /**< oversampling factor sigma=2 */
N[1] = NN;
n[1] = 2 * N[1]; /**< oversampling factor sigma=2 */
x = (NFFT_R *) NFFT(malloc)((size_t)(5 * (T / 2) * S) * (sizeof(NFFT_R)));
if (x == NULL)
return EXIT_FAILURE;
w = (NFFT_R *) NFFT(malloc)((size_t)(5 * (T * S) / 4) * (sizeof(NFFT_R)));
if (w == NULL)
return EXIT_FAILURE;
/** init two dimensional NFFT plan */
M = mpolar_grid(T, S, x, w);
NFFT(init_guru)(&my_nfft_plan, 2, N, M, n, m,
PRE_PHI_HUT | PRE_PSI | MALLOC_X | MALLOC_F_HAT | MALLOC_F | FFTW_INIT,
FFTW_MEASURE);
/** init nodes from mpolar grid*/
for (j = 0; j < my_nfft_plan.M_total; j++)
{
my_nfft_plan.x[2 * j + 0] = x[2 * j + 0];
my_nfft_plan.x[2 * j + 1] = x[2 * j + 1];
}
/** init Fourier coefficients from given image */
for (k = 0; k < my_nfft_plan.N_total; k++)
my_nfft_plan.f_hat[k] = f_hat[k];
t0 = NFFT(clock_gettime_seconds)();
/** NDFT-2D */
NFFT(trafo_direct)(&my_nfft_plan);
t1 = NFFT(clock_gettime_seconds)();
GLOBAL_elapsed_time = (t1 - t0);
/** copy result */
for (j = 0; j < my_nfft_plan.M_total; j++)
f[j] = my_nfft_plan.f[j];
/** finalise the plans and free the variables */
NFFT(finalize)(&my_nfft_plan);
NFFT(free)(x);
NFFT(free)(w);
return EXIT_SUCCESS;
}
/** NFFT-based mpolar FFT */
static int mpolar_fft(NFFT_C *f_hat, int NN, NFFT_C *f, int T, int S, int m)
{
double t0, t1;
int j, k; /**< index for nodes and freqencies */
NFFT(plan) my_nfft_plan; /**< plan for the nfft-2D */
NFFT_R *x, *w; /**< knots and associated weights */
int N[2], n[2];
int M; /**< number of knots */
N[0] = NN;
n[0] = 2 * N[0]; /**< oversampling factor sigma=2 */
N[1] = NN;
n[1] = 2 * N[1]; /**< oversampling factor sigma=2 */
x = (NFFT_R *) NFFT(malloc)((size_t)(5 * T * S / 2) * (sizeof(NFFT_R)));
if (x == NULL)
return EXIT_FAILURE;
w = (NFFT_R *) NFFT(malloc)((size_t)(5 * T * S / 4) * (sizeof(NFFT_R)));
if (w == NULL)
return EXIT_FAILURE;
/** init two dimensional NFFT plan */
M = mpolar_grid(T, S, x, w);
NFFT(init_guru)(&my_nfft_plan, 2, N, M, n, m,
PRE_PHI_HUT | PRE_PSI | MALLOC_X | MALLOC_F_HAT | MALLOC_F | FFTW_INIT
| FFT_OUT_OF_PLACE,
FFTW_MEASURE | FFTW_DESTROY_INPUT);
/** init nodes from mpolar grid*/
for (j = 0; j < my_nfft_plan.M_total; j++)
{
my_nfft_plan.x[2 * j + 0] = x[2 * j + 0];
my_nfft_plan.x[2 * j + 1] = x[2 * j + 1];
}
/** precompute psi, the entries of the matrix B */
if (my_nfft_plan.flags & PRE_LIN_PSI)
NFFT(precompute_lin_psi)(&my_nfft_plan);
if (my_nfft_plan.flags & PRE_PSI)
NFFT(precompute_psi)(&my_nfft_plan);
if (my_nfft_plan.flags & PRE_FULL_PSI)
NFFT(precompute_full_psi)(&my_nfft_plan);
/** init Fourier coefficients from given image */
for (k = 0; k < my_nfft_plan.N_total; k++)
my_nfft_plan.f_hat[k] = f_hat[k];
t0 = NFFT(clock_gettime_seconds)();
/** NFFT-2D */
NFFT(trafo)(&my_nfft_plan);
t1 = NFFT(clock_gettime_seconds)();
GLOBAL_elapsed_time = (t1 - t0);
/** copy result */
for (j = 0; j < my_nfft_plan.M_total; j++)
f[j] = my_nfft_plan.f[j];
/** finalise the plans and free the variables */
NFFT(finalize)(&my_nfft_plan);
NFFT(free)(x);
NFFT(free)(w);
return EXIT_SUCCESS;
}
/** inverse NFFT-based mpolar FFT */
static int inverse_mpolar_fft(NFFT_C *f, int T, int S, NFFT_C *f_hat, int NN, int max_i,
int m)
{
double t0, t1;
int j, k; /**< index for nodes and freqencies */
NFFT(plan) my_nfft_plan; /**< plan for the nfft-2D */
SOLVER(plan_complex) my_infft_plan; /**< plan for the inverse nfft */
NFFT_R *x, *w; /**< knots and associated weights */
int l; /**< index for iterations */
int N[2], n[2];
int M; /**< number of knots */
N[0] = NN;
n[0] = 2 * N[0]; /**< oversampling factor sigma=2 */
N[1] = NN;
n[1] = 2 * N[1]; /**< oversampling factor sigma=2 */
x = (NFFT_R *) NFFT(malloc)((size_t)(5 * T * S / 2) * (sizeof(NFFT_R)));
if (x == NULL)
return EXIT_FAILURE;
w = (NFFT_R *) NFFT(malloc)((size_t)(5 * T * S / 4) * (sizeof(NFFT_R)));
if (w == NULL)
return EXIT_FAILURE;
/** init two dimensional NFFT plan */
M = mpolar_grid(T, S, x, w);
NFFT(init_guru)(&my_nfft_plan, 2, N, M, n, m,
PRE_PHI_HUT | PRE_PSI | MALLOC_X | MALLOC_F_HAT | MALLOC_F | FFTW_INIT
| FFT_OUT_OF_PLACE,
FFTW_MEASURE | FFTW_DESTROY_INPUT);
/** init two dimensional infft plan */
SOLVER(init_advanced_complex)(&my_infft_plan,
(NFFT(mv_plan_complex)*) (&my_nfft_plan), CGNR | PRECOMPUTE_WEIGHT);
/** init nodes, given samples and weights */
for (j = 0; j < my_nfft_plan.M_total; j++)
{
my_nfft_plan.x[2 * j + 0] = x[2 * j + 0];
my_nfft_plan.x[2 * j + 1] = x[2 * j + 1];
my_infft_plan.y[j] = f[j];
my_infft_plan.w[j] = w[j];
}
/** precompute psi, the entries of the matrix B */
if (my_nfft_plan.flags & PRE_LIN_PSI)
NFFT(precompute_lin_psi)(&my_nfft_plan);
if (my_nfft_plan.flags & PRE_PSI)
NFFT(precompute_psi)(&my_nfft_plan);
if (my_nfft_plan.flags & PRE_FULL_PSI)
NFFT(precompute_full_psi)(&my_nfft_plan);
/** initialise damping factors */
if (my_infft_plan.flags & PRECOMPUTE_DAMP)
for (j = 0; j < my_nfft_plan.N[0]; j++)
for (k = 0; k < my_nfft_plan.N[1]; k++)
{
my_infft_plan.w_hat[j * my_nfft_plan.N[1] + k] = (
NFFT_M(sqrt)(
NFFT_M(pow)((NFFT_R)(j - my_nfft_plan.N[0] / 2), NFFT_K(2.0))
+ NFFT_M(pow)((NFFT_R)(k - my_nfft_plan.N[1] / 2), NFFT_K(2.0)))
> (NFFT_R)(my_nfft_plan.N[0] / 2) ? NFFT_K(0.0) : NFFT_K(1.0));
}
/** initialise some guess f_hat_0 */
for (k = 0; k < my_nfft_plan.N_total; k++)
my_infft_plan.f_hat_iter[k] = NFFT_K(0.0) + _Complex_I * NFFT_K(0.0);
t0 = NFFT(clock_gettime_seconds)();
/** solve the system */
SOLVER(before_loop_complex)(&my_infft_plan);
if (max_i < 1)
{
l = 1;
for (k = 0; k < my_nfft_plan.N_total; k++)
my_infft_plan.f_hat_iter[k] = my_infft_plan.p_hat_iter[k];
}
else
{
for (l = 1; l <= max_i; l++)
{
SOLVER(loop_one_step_complex)(&my_infft_plan);
}
}
t1 = NFFT(clock_gettime_seconds)();
GLOBAL_elapsed_time = (t1 - t0);
/** copy result */
for (k = 0; k < my_nfft_plan.N_total; k++)
f_hat[k] = my_infft_plan.f_hat_iter[k];
/** finalise the plans and free the variables */
SOLVER(finalize_complex)(&my_infft_plan);
NFFT(finalize)(&my_nfft_plan);
NFFT(free)(x);
NFFT(free)(w);
return EXIT_SUCCESS;
}
/** Comparison of the FFTW, mpolar FFT, and inverse mpolar FFT */
static int comparison_fft(FILE *fp, int N, int T, int S)
{
double t0, t1;
FFTW(plan) my_fftw_plan;
NFFT_C *f_hat, *f;
int m, k;
NFFT_R t_fft, t_dft_mpolar;
f_hat = (NFFT_C *) NFFT(malloc)(sizeof(NFFT_C) * (size_t)(N * N));
f = (NFFT_C *) NFFT(malloc)(sizeof(NFFT_C) * (size_t)((T * S / 4) * 5));
my_fftw_plan = FFTW(plan_dft_2d)(N, N, f_hat, f, FFTW_BACKWARD, FFTW_MEASURE);
for (k = 0; k < N * N; k++)
f_hat[k] = NFFT(drand48)() + _Complex_I * NFFT(drand48)();
t0 = NFFT(clock_gettime_seconds)();
for (m = 0; m < 65536 / N; m++)
{
FFTW(execute)(my_fftw_plan);
/* touch */
f_hat[2] = NFFT_K(2.0) * f_hat[0];
}
t1 = NFFT(clock_gettime_seconds)();
GLOBAL_elapsed_time = (t1 - t0);
t_fft = (NFFT_R)(N) * GLOBAL_elapsed_time / NFFT_K(65536.0);
if (N < 256)
{
mpolar_dft(f_hat, N, f, T, S, 1);
t_dft_mpolar = GLOBAL_elapsed_time;
}
for (m = 3; m <= 9; m += 3)
{
if ((m == 3) && (N < 256))
fprintf(fp, "%d\t&\t&\t%1.1" NFFT__FES__ "&\t%1.1" NFFT__FES__ "&\t%d\t", N, t_fft, t_dft_mpolar, m);
else if (m == 3)
fprintf(fp, "%d\t&\t&\t%1.1" NFFT__FES__ "&\t &\t%d\t", N, t_fft, m);
else
fprintf(fp, " \t&\t&\t &\t &\t%d\t", m);
printf("N=%d\tt_fft=%1.1" NFFT__FES__ "\tt_dft_mpolar=%1.1" NFFT__FES__ "\tm=%d\t", N, t_fft,
t_dft_mpolar, m);
mpolar_fft(f_hat, N, f, T, S, m);
fprintf(fp, "%1.1" NFFT__FES__ "&\t", GLOBAL_elapsed_time);
printf("t_mpolar=%1.1" NFFT__FES__ "\t", GLOBAL_elapsed_time);
inverse_mpolar_fft(f, T, S, f_hat, N, 2 * m, m);
if (m == 9)
fprintf(fp, "%1.1" NFFT__FES__ "\\\\\\hline\n", GLOBAL_elapsed_time);
else
fprintf(fp, "%1.1" NFFT__FES__ "\\\\\n", GLOBAL_elapsed_time);
printf("t_impolar=%1.1" NFFT__FES__ "\n", GLOBAL_elapsed_time);
}
fflush(fp);
NFFT(free)(f);
NFFT(free)(f_hat);
return EXIT_SUCCESS;
}
/** test program for various parameters */
int main(int argc, char **argv)
{
int N; /**< mpolar FFT size NxN */
int T, S; /**< number of directions/offsets */
int M; /**< number of knots of mpolar grid */
NFFT_R *x, *w; /**< knots and associated weights */
NFFT_C *f_hat, *f, *f_direct, *f_tilde;
int k;
int max_i; /**< number of iterations */
int m;
NFFT_R temp1, temp2, E_max = NFFT_K(0.0);
FILE *fp1, *fp2;
char filename[30];
int logN;
if (argc != 4)
{
printf("mpolar_fft_test N T R \n");
printf("\n");
printf("N mpolar FFT of size NxN \n");
printf("T number of slopes \n");
printf("R number of offsets \n");
/** Hence, comparison of the FFTW, mpolar FFT, and inverse mpolar FFT */
printf("\nHence, comparison FFTW, mpolar FFT and inverse mpolar FFT\n");
fp1 = fopen("mpolar_comparison_fft.dat", "w");
if (fp1 == NULL)
return (-1);
for (logN = 4; logN <= 8; logN++)
comparison_fft(fp1, (int)(1U << logN), 3 * (int)(1U << logN),
3 * (int)(1U << (logN - 1)));
fclose(fp1);
exit(EXIT_FAILURE);
}
N = atoi(argv[1]);
T = atoi(argv[2]);
S = atoi(argv[3]);
printf("N=%d, modified polar grid with T=%d, R=%d => ", N, T, S);
x = (NFFT_R *) NFFT(malloc)((size_t)(5 * T * S / 2) * (sizeof(NFFT_R)));
w = (NFFT_R *) NFFT(malloc)((size_t)(5 * T * S / 4) * (sizeof(NFFT_R)));
f_hat = (NFFT_C *) NFFT(malloc)(sizeof(NFFT_C) * (size_t)(N * N));
f = (NFFT_C *) NFFT(malloc)(sizeof(NFFT_C) * (size_t)(1.25 * T * S)); /* 4/pi*log(1+sqrt(2)) = 1.122... < 1.25 */
f_direct = (NFFT_C *) NFFT(malloc)(sizeof(NFFT_C) * (size_t)(1.25 * T * S));
f_tilde = (NFFT_C *) NFFT(malloc)(sizeof(NFFT_C) * (size_t)(N * N));
/** generate knots of mpolar grid */
M = mpolar_grid(T, S, x, w);
printf("M=%d.\n", M);
/** load data */
fp1 = fopen("input_data_r.dat", "r");
fp2 = fopen("input_data_i.dat", "r");
if ((fp1 == NULL) || (fp2 == NULL))
return (-1);
for (k = 0; k < N * N; k++)
{
fscanf(fp1, NFFT__FR__ " ", &temp1);
fscanf(fp2, NFFT__FR__ " ", &temp2);
f_hat[k] = temp1 + _Complex_I * temp2;
}
fclose(fp1);
fclose(fp2);
/** direct mpolar FFT */
mpolar_dft(f_hat, N, f_direct, T, S, 1);
// mpolar_fft(f_hat,N,f_direct,T,R,12);
/** Test of the mpolar FFT with different m */
printf("\nTest of the mpolar FFT: \n");
fp1 = fopen("mpolar_fft_error.dat", "w+");
for (m = 1; m <= 12; m++)
{
/** fast mpolar FFT */
mpolar_fft(f_hat, N, f, T, S, m);
/** compute error of fast mpolar FFT */
E_max = NFFT(error_l_infty_complex)(f_direct, f, M);
printf("m=%2d: E_max = %" NFFT__FES__ "\n", m, E_max);
fprintf(fp1, "%" NFFT__FES__ "\n", E_max);
}
fclose(fp1);
/** Test of the inverse mpolar FFT for different m in dependece of the iteration number*/
for (m = 3; m <= 9; m += 3)
{
printf("\nTest of the inverse mpolar FFT for m=%d: \n", m);
sprintf(filename, "mpolar_ifft_error%d.dat", m);
fp1 = fopen(filename, "w+");
for (max_i = 0; max_i <= 20; max_i += 2)
{
/** inverse mpolar FFT */
inverse_mpolar_fft(f_direct, T, S, f_tilde, N, max_i, m);
/** compute maximum relativ error */
E_max = NFFT(error_l_infty_complex)(f_hat, f_tilde, N * N);
printf("%3d iterations: E_max = %" NFFT__FES__ "\n", max_i, E_max);
fprintf(fp1, "%" NFFT__FES__ "\n", E_max);
}
fclose(fp1);
}
/** free the variables */
NFFT(free)(x);
NFFT(free)(w);
NFFT(free)(f_hat);
NFFT(free)(f);
NFFT(free)(f_direct);
NFFT(free)(f_tilde);
return EXIT_SUCCESS;
}
/* \} */
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