TutorialMeanDrift::ParametersForAlgo Struct Reference

Public Member Functions
	ParametersForAlgo ()

Public Attributes
unsigned int	m_test_nbsamples
bool	m_test_activatedalarms [vpStatisticalTestAbstract::MEAN_DRIFT_COUNT]
unsigned int	m_test_nbactivatedalarms
float	m_cusum_h
float	m_cusum_k
float	m_ewma_alpha
float	m_hinkley_alpha
float	m_hinkley_delta
bool	m_hinkley_computealphadelta
float	m_hinkley_h
float	m_hinkley_k
bool	m_shewhart_useWECO
bool	m_shewhart_rules [vpStatisticalTestShewhart::COUNT_WECO - 1]
float	m_sigma_h

Detailed Description

[Structure_Parameters]

Structure that contains the parameters of the different algorithms.

Examples

tutorial-meandrift.cpp.

Definition at line 311 of file tutorial-meandrift.cpp.

Constructor & Destructor Documentation

ParametersForAlgo()

TutorialMeanDrift::ParametersForAlgo::ParametersForAlgo ( )

inline

Examples

tutorial-meandrift.cpp.

Definition at line 328 of file tutorial-meandrift.cpp.

References TutorialMeanDrift::CONST_ALL_ALARM_ON, vpStatisticalTestShewhart::CONST_ALL_WECO_ACTIVATED, vpStatisticalTestShewhart::COUNT_WECO, m_shewhart_rules, m_test_activatedalarms, m_test_nbactivatedalarms, vpStatisticalTestAbstract::MEAN_DRIFT_COUNT, vpStatisticalTestAbstract::MEAN_DRIFT_NONE, and TutorialMeanDrift::meanDriftArrayToNbActivated().

Member Data Documentation

m_cusum_h

float TutorialMeanDrift::ParametersForAlgo::m_cusum_h

Alarm factor for the mean adjusted CUSUM test.

Examples

tutorial-meandrift.cpp.

Definition at line 316 of file tutorial-meandrift.cpp.

m_cusum_k

float TutorialMeanDrift::ParametersForAlgo::m_cusum_k

Detection factor for the mean adjusted CUSUM test.

Examples

tutorial-meandrift.cpp.

Definition at line 317 of file tutorial-meandrift.cpp.

m_ewma_alpha

float TutorialMeanDrift::ParametersForAlgo::m_ewma_alpha

Forgetting factor for the EWMA test.

Examples

tutorial-meandrift.cpp.

Definition at line 318 of file tutorial-meandrift.cpp.

m_hinkley_alpha

float TutorialMeanDrift::ParametersForAlgo::m_hinkley_alpha

Alarm threshold for the Hinkley's test.

Examples

tutorial-meandrift.cpp.

Definition at line 319 of file tutorial-meandrift.cpp.

m_hinkley_computealphadelta

bool TutorialMeanDrift::ParametersForAlgo::m_hinkley_computealphadelta

If true, compute alpha and delta of the Hinkley's using the stdev of the signal.

Examples

tutorial-meandrift.cpp.

Definition at line 321 of file tutorial-meandrift.cpp.

m_hinkley_delta

float TutorialMeanDrift::ParametersForAlgo::m_hinkley_delta

Detection threshold for the Hinkley's test.

Examples

tutorial-meandrift.cpp.

Definition at line 320 of file tutorial-meandrift.cpp.

m_hinkley_h

float TutorialMeanDrift::ParametersForAlgo::m_hinkley_h

Alarm factor permitting to compute alpha from the standard deviation of the signal.

Examples

tutorial-meandrift.cpp.

Definition at line 322 of file tutorial-meandrift.cpp.

m_hinkley_k

float TutorialMeanDrift::ParametersForAlgo::m_hinkley_k

Detection factor permitting to compute delta from the standard deviation of the signal.

Examples

tutorial-meandrift.cpp.

Definition at line 323 of file tutorial-meandrift.cpp.

m_shewhart_rules

bool TutorialMeanDrift::ParametersForAlgo::m_shewhart_rules[vpStatisticalTestShewhart::COUNT_WECO - 1]

Rules for the Shewart's test. True activate a WECO rule, false deactivate it.

Examples

tutorial-meandrift.cpp.

Definition at line 325 of file tutorial-meandrift.cpp.

Referenced by ParametersForAlgo().

m_shewhart_useWECO

bool TutorialMeanDrift::ParametersForAlgo::m_shewhart_useWECO

If true, use the WECO rules for additionnal subtests for Shewhart's test.

Examples

tutorial-meandrift.cpp.

Definition at line 324 of file tutorial-meandrift.cpp.

m_sigma_h

float TutorialMeanDrift::ParametersForAlgo::m_sigma_h

Alarm factor for the sigma test.

Examples

tutorial-meandrift.cpp.

Definition at line 326 of file tutorial-meandrift.cpp.

m_test_activatedalarms

bool TutorialMeanDrift::ParametersForAlgo::m_test_activatedalarms[vpStatisticalTestAbstract::MEAN_DRIFT_COUNT]

Flag is true for a type of alarm that must be considered, false otherwise.

Examples

tutorial-meandrift.cpp.

Definition at line 314 of file tutorial-meandrift.cpp.

Referenced by ParametersForAlgo().

m_test_nbactivatedalarms

unsigned int TutorialMeanDrift::ParametersForAlgo::m_test_nbactivatedalarms

Number of activated alarms.

Examples

tutorial-meandrift.cpp.

Definition at line 315 of file tutorial-meandrift.cpp.

Referenced by ParametersForAlgo().

m_test_nbsamples

unsigned int TutorialMeanDrift::ParametersForAlgo::m_test_nbsamples

Number of samples to compute the mean and stdev, common to all the algorithms.

Examples

tutorial-meandrift.cpp.

Definition at line 313 of file tutorial-meandrift.cpp.