EmpCovar(const UpdateBlock& params, CovMatrix& covariance) :
params_(params),p_(params.size()),
rowCount_(0)
{
// Set up storage
sum_.resize(params.size());
sumSq_.resize(params.size());
expectation_.resize(params.size());
for(size_t i = 0; i<params.size(); ++i) {
sum_(i) = 0.0;
expectation_(i) = 0.0;
for(size_t j = 0; j < params.size(); ++j) sumSq_(i,j) = 0.0;
}
covMatrix_ = covariance;
// Add a parameter row
//setCovariance(covariance);
//sample();
}
void image2vector_2d(const ublas::fixed_vector<size_t, 2> size, const float_accessor_t & image, ublas::vector<float_t> & vector)
{
if(image.size() != size)
throw Exception("Exception: Dimensions of image and grid do not agree in Image2Grid::image2vector().");
size_t n_x_vertices = size(0);
size_t n_y_vertices = size(1);
vector.resize(n_x_vertices * n_y_vertices, false);
for(size_t i = 0; i < n_x_vertices; i++)
for(size_t j = 0; j < n_y_vertices; ++j)
{
size_t vertex_index = i + j * n_x_vertices;
vector(vertex_index) = image[ublas::fixed_vector<size_t, 2>(i, j)];
}
}
void fill_savitzky_golay(
ublas::vector<double>& first,
ublas::vector<double>& second
) {
first.resize(41);
second.resize(41);
first[0] = 0.0323312535450935;
first[1] = 0.00850822461712981;
first[2] = -0.00829006501156256;
first[3] = -0.0189798856843667;
first[4] = -0.0244279796179967;
first[5] = -0.0254515609024968;
first[6] = -0.0228183155012423;
first[7] = -0.0172464012509389;
first[8] = -0.00940444786162312;
first[9] = 8.84430833381321e-05;
first[10] = 0.0106626981272472;
first[11] = 0.0217982719400757;
first[12] = 0.0330246473184647;
first[13] = 0.0439208351857245;
first[14] = 0.0541153745918351;
first[15] = 0.0632863327134455;
first[16] = 0.0711613048538743;
first[17] = 0.0775174144431092;
first[18] = 0.0821813130378076;
first[19] = 0.0850291803212959;
first[20] = 0.0859867241035703;
first[21] = 0.0850291803212959;
first[22] = 0.0821813130378076;
first[23] = 0.0775174144431092;
first[24] = 0.0711613048538743;
first[25] = 0.0632863327134455;
first[26] = 0.0541153745918351;
first[27] = 0.0439208351857245;
first[28] = 0.0330246473184647;
first[29] = 0.0217982719400757;
first[30] = 0.0106626981272472;
first[31] = 8.84430833381564e-05;
first[32] = -0.00940444786162310;
first[33] = -0.0172464012509389;
first[34] = -0.0228183155012423;
first[35] = -0.0254515609024968;
first[36] = -0.0244279796179966;
first[37] = -0.0189798856843667;
first[38] = -0.00829006501156248;
first[39] = 0.00850822461712988;
first[40] = 0.0323312535450935;
second[0] = 0.00733573478893954;
second[1] = 0.00426393421288486;
second[2] = 0.00160828961169289;
second[3] = -0.000653101960681753;
second[4] = -0.00254214345028448;
second[5] = -0.00408073780316071;
second[6] = -0.00529078796535584;
second[7] = -0.00619419688291528;
second[8] = -0.00681286750188443;
second[9] = -0.00716870276830871;
second[10] = -0.00728360562823351;
second[11] = -0.00717947902770424;
second[12] = -0.00687822591276632;
second[13] = -0.00640174922946515;
second[14] = -0.00577195192384613;
second[15] = -0.00501073694195466;
second[16] = -0.00414000722983617;
second[17] = -0.00318166573353605;
second[18] = -0.00215761539909971;
second[19] = -0.00108975917257256;
second[20] = -4.35165292826184e-19;
second[21] = 0.00108975917257256;
second[22] = 0.00215761539909971;
second[23] = 0.00318166573353605;
second[24] = 0.00414000722983617;
second[25] = 0.00501073694195467;
second[26] = 0.00577195192384613;
second[27] = 0.00640174922946515;
second[28] = 0.00687822591276632;
second[29] = 0.00717947902770425;
second[30] = 0.00728360562823351;
second[31] = 0.00716870276830871;
second[32] = 0.00681286750188444;
second[33] = 0.00619419688291529;
second[34] = 0.00529078796535585;
second[35] = 0.00408073780316072;
second[36] = 0.00254214345028449;
second[37] = 0.000653101960681753;
second[38] = -0.00160828961169289;
second[39] = -0.00426393421288486;
second[40] = -0.00733573478893955;
}
