test_fft.cxx

InsightToolkit-1.4.0(有大量的优化算法程序)

// This is vxl/vnl/tests/test_fft.cxx
/*
  fsm
*/
#include <vcl_iostream.h>

#include <vnl/vnl_vector.h>
#include <vnl/vnl_matrix.h>
#include <vnl/vnl_matlab_print.h>

#include <vnl/algo/vnl_fft_1d.h>
#include <vnl/algo/vnl_fft_2d.h>

#include <testlib/testlib_test.h>

#include "test_util.h"

void test_fft_1d(unsigned int N)
{
  vnl_vector<vcl_complex<double> > signal(N);
  test_util_fill_random(signal.begin(), signal.end());

  vnl_fft_1d<double> fft(N);

  vnl_vector<vcl_complex<double> > tmp = signal;
  vnl_matlab_print(vcl_cout, tmp, "tmp");

  fft.fwd_transform(tmp);
  vnl_matlab_print(vcl_cout, tmp, "tmp");

  fft.bwd_transform(tmp); tmp /= N;
  vnl_matlab_print(vcl_cout, tmp, "tmp");

  double err = (tmp - signal).two_norm();
  vcl_cout << "err = " << err << vcl_endl;
  testlib_test_assert_near("test fwd-bwd", err, 0.0, 1e-10);
}

void test_fft_2d(unsigned int M, unsigned int N)
{
  vnl_matrix<vcl_complex<double> > signal(M, N);
  test_util_fill_random(signal.begin(), signal.end());

  vnl_fft_2d<double> fft(M, N);

  vnl_matrix<vcl_complex<double> > tmp = signal;
  vnl_matlab_print(vcl_cout, tmp, "tmp");

  fft.fwd_transform(tmp);
  vnl_matlab_print(vcl_cout, tmp, "tmp");

  fft.bwd_transform(tmp); tmp /= (M*N);
  vnl_matlab_print(vcl_cout, tmp, "tmp");

  double err = (tmp - signal).fro_norm();
  vcl_cout << "err = " << err << vcl_endl;
  testlib_test_assert_near("test fwd-bwd", err, 0.0, 1e-10);
}

void test_fft()
{
  test_fft_1d(24);
  test_fft_2d(25, 30);
}

TESTMAIN (test_fft);