mxlib
c++ tools for analyzing astronomical data and other tasks by Jared R. Males. [git repo]
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This is the complete list of members for mx::improc::eigenCube< dataT >, including all inherited members.
asVectors() | mx::improc::eigenCube< dataT > | |
clear() | mx::improc::eigenCube< dataT > | |
Covar(Eigen::Matrix< dataT, Eigen::Dynamic, Eigen::Dynamic > &cv) | mx::improc::eigenCube< dataT > | |
cube() | mx::improc::eigenCube< dataT > | |
eigenCube(Index nrows, Index ncols, Index nplanes) | mx::improc::eigenCube< dataT > | |
eigenCube(dataT *ndata, size_t nrows, size_t ncols, size_t nplanes) | mx::improc::eigenCube< dataT > | |
image(Index n) | mx::improc::eigenCube< dataT > | |
image(Index n) const | mx::improc::eigenCube< dataT > | |
mean(eigenT &mim) | mx::improc::eigenCube< dataT > | |
mean(eigenT &mim, eigenCubeT &mask, double minGoodFract=0.0) | mx::improc::eigenCube< dataT > | |
mean(eigenT &mim, std::vector< dataT > &weights) | mx::improc::eigenCube< dataT > | |
mean(eigenT &mim, std::vector< dataT > &weights, eigenCubeT &mask, double minGoodFract=0.0) | mx::improc::eigenCube< dataT > | |
median(eigenT &mim) | mx::improc::eigenCube< dataT > | |
pixel(Index i, Index j) | mx::improc::eigenCube< dataT > | |
sigmaMean(eigenT &mim, Scalar sigma) | mx::improc::eigenCube< dataT > | |
sigmaMean(eigenT &mim, eigenCubeT &mask, Scalar sigma, double minGoodFract=0.0) | mx::improc::eigenCube< dataT > | |
sigmaMean(eigenT &mim, std::vector< dataT > &weights, Scalar sigma) | mx::improc::eigenCube< dataT > | |
sigmaMean(eigenT &mim, std::vector< dataT > &weights, eigenCubeT &mask, Scalar sigma, double minGoodFract=0.0) | mx::improc::eigenCube< dataT > | |
sum(eigenT &mim) | mx::improc::eigenCube< dataT > |