CPA correlation matrix evaluation SICAK CpaCorrEval plugin, looking for maximum edge, i.e. largest derivation of correlation trace, approximated by convolving with derivative of gaussian. More...
#include <maxedge.h>
Inheritance diagram for MaxEdge:
Collaboration diagram for MaxEdge:
Public Member Functions | |
| virtual QString | getPluginName () override |
| Plugin name. | |
| virtual QString | getPluginInfo () override |
| Plugin info. | |
| virtual void | init (const char *param) override |
| Initialize the plugin, prepare convolutional kernel for further evaluations (first derivative of gaussian) based on parameters: param="d,sigma", e.g. "11,5.0". | |
| virtual void | deInit () override |
| Deinitialize the plugin. | |
| virtual void | evaluateCorrelations (MatrixType< double > &correlationMatrix, size_t &sample, size_t &keyCandidate) override |
| Evaluate the correlation matrix, save the results in sample and keyCandidate. | |
Protected Member Functions | |
| Matrix< double > | convolveMatrixRows (MatrixType< double > &matrix, VectorType< double > &kernel) |
| Convolve rows of matrix. | |
| Vector< double > | generateDerivativeGaussianKernel (size_t diameter, double deviation) |
| Generate derivative of gaussian kernel, which works as edge detector. | |
Protected Attributes | |
| Vector< double > | m_kernel |
Additional Inherited Members |
Detailed Description
CPA correlation matrix evaluation SICAK CpaCorrEval plugin, looking for maximum edge, i.e. largest derivation of correlation trace, approximated by convolving with derivative of gaussian.
The documentation for this class was generated from the following files:
- plugins/cpacorreval/maxedge/maxedge.h
- plugins/cpacorreval/maxedge/maxedge.cpp
