//
// File: CGaussianFilter.cpp
//
// MATLAB Coder version            : 4.3
// C/C++ source code generated on  : 12-Jan-2022 14:46:32
//

// Include Files
#include "CGaussianFilter.h"
#include "GaussianFilter_data.h"
#include "GaussianFilter_emxutil.h"
#include "conv2AXPY.h"
#include <math.h>

// Function Definitions

//
// Arguments    : void
// Return Type  : void
//
CGaussianFilter::~CGaussianFilter()
{
  omp_destroy_nest_lock(&emlrtNestLockGlobal);
}

//
// Arguments    : void
// Return Type  : void
//
CGaussianFilter::CGaussianFilter()
{
  omp_init_nest_lock(&emlrtNestLockGlobal);
}

//
// Arguments    : const emxArray_real_T *x
//                emxArray_real_T *xlpf
// Return Type  : void
//
void CGaussianFilter::GaussianFilter(const emxArray_real_T *x, emxArray_real_T
  *xlpf)
{
  emxArray_real_T *work;
  int32_T rank;
  int32_T k;
  static const real_T s[25] = { 0.22354978351691851, 0.0, 0.0, 0.0, 0.0, 0.0,
    3.1892324657149476E-17, 0.0, 0.0, 0.0, 0.0, 0.0, 8.1422304240527224E-18, 0.0,
    0.0, 0.0, 0.0, 0.0, 6.5350494864904178E-19, 0.0, 0.0, 0.0, 0.0, 0.0,
    2.4277338668394078E-34 };

  int32_T nb;
  int32_T i;
  int32_T u1;
  int32_T jlo;
  int32_T ix;
  static const real_T hrow[5] = { 0.1200783842432135, 0.23388075658535037,
    0.29208171834287255, 0.23388075658535035, 0.1200783842432135 };

  emxInit_real_T(&work, 2);
  if (25 <= x->size[1]) {
    frexp(2.4277338668394078E-34, &rank);
    rank = 0;
    for (k = 0; k < 5; k++) {
      if (s[k + 5 * k] > 2.1382117680737565E-49) {
        rank++;
      }
    }

    if (rank == 1) {
      nb = x->size[1];
      i = work->size[0] * work->size[1];
      work->size[0] = 1;
      work->size[1] = x->size[1];
      emxEnsureCapacity_real_T(work, i);
      rank = x->size[1];
      for (i = 0; i < rank; i++) {
        work->data[i] = 0.0;
      }

      i = xlpf->size[0] * xlpf->size[1];
      xlpf->size[0] = 1;
      xlpf->size[1] = x->size[1];
      emxEnsureCapacity_real_T(xlpf, i);
      rank = x->size[1];
      for (i = 0; i < rank; i++) {
        xlpf->data[i] = 0.0;
      }

      for (rank = 0; rank < nb; rank++) {
        work->data[rank] += 0.29208171834287244 * x->data[rank];
      }

      u1 = x->size[1] + 2;
      if (5 < u1) {
        u1 = 5;
      }

      for (k = 1; k <= u1; k++) {
        if (k - 2 > 0) {
          jlo = k - 3;
        } else {
          jlo = 0;
        }

        rank = (nb + k) - 3;
        if (rank > nb) {
          rank = nb;
        }

        rank -= jlo;
        if (rank >= 1) {
          ix = (jlo - k) + 3;
          i = rank - 1;
          for (rank = 0; rank <= i; rank++) {
            xlpf->data[jlo] += hrow[k - 1] * work->data[ix];
            ix++;
            jlo++;
          }
        }
      }
    } else {
      conv2AXPYSameCMP(x, xlpf);
    }
  } else {
    conv2AXPYSameCMP(x, xlpf);
  }

  emxFree_real_T(&work);
}

void CGaussianFilter::SetPdoa1dEnable(bool bEnable)
{
	s_enabled_pdoa1d = bEnable;
}

bool CGaussianFilter::GetPdoa1dEnable()
{
	return s_enabled_pdoa1d;
}

void CGaussianFilter::SetPdoa1dDist(double dist)
{
	s_pdoa1d_act_dist = dist;
}

double CGaussianFilter::GetPdoa1dDist()
{
	return 25;
	//return s_pdoa1d_act_dist;
}

bool CGaussianFilter::s_enabled_pdoa1d = false;

double CGaussianFilter::s_pdoa1d_act_dist = 0.0;

//
// File trailer for CGaussianFilter.cpp
//
// [EOF]
//