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FFSep.h
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FFSep.h
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/*
* This software is distributed under BSD 3-clause license (see LICENSE file).
*
* Authors: Kevin Hughes, Heiko Strathmann, Bjoern Esser
*/
#ifndef FFSEP_H_
#define FFSEP_H_
#include <shogun/lib/config.h>
#include <shogun/lib/SGNDArray.h>
#include <shogun/features/Features.h>
#include <shogun/converter/ica/ICAConverter.h>
namespace shogun
{
class CFeatures;
/** @brief class FFSep
*
* Implements the FFSep algorithm for Independent
* Component Analysis (ICA) and Blind Source
* Separation (BSS).
*
* Ziehe, A., Laskov, P., Nolte, G., & Müller, K. R. (2004).
* A fast algorithm for joint diagonalization with non-orthogonal transformations
* and its application to blind source separation.
* The Journal of Machine Learning Research, 5, 777-800.
*
*/
class CFFSep: public CICAConverter
{
public:
/** constructor */
CFFSep();
/** destructor */
virtual ~CFFSep();
/** apply to features
* @param features features to embed
*/
virtual CFeatures* apply(CFeatures* features, bool inplace = true);
/** getter for tau parameter
* @return tau vector
*/
SGVector<float64_t> get_tau() const;
/** setter for tau parameter
* @param tau vector
*/
void set_tau(SGVector<float64_t> tau);
/** getter for time sep cov matrices
* @return cov matrices
*/
SGNDArray<float64_t> get_covs() const;
/** @return object name */
virtual const char* get_name() const { return "FFSep"; };
protected:
/** init */
void init();
private:
/** tau vector */
SGVector<float64_t> m_tau;
/** cov matrices */
SGNDArray<float64_t> m_covs;
};
}
#endif // FFSEP