nmrLinearRegressionWindowRecursiveSolver< _elementType > Class Template Reference

#include <nmrLinearRegression.h>

Inheritance diagram for nmrLinearRegressionWindowRecursiveSolver< _elementType >:

Public Member Functions
	nmrLinearRegressionWindowRecursiveSolver (size_t length)
	~nmrLinearRegressionWindowRecursiveSolver ()
bool	Sample (const _elementType &x, const _elementType &y)
bool	EstimateAsFractions (SummationType &slope_num, SummationType &yint_num, SummationType &denom, SummationType *tse_num=0)
Public Member Functions inherited from nmrLinearRegressionWindowSolver< _elementType >
	nmrLinearRegressionWindowSolver (size_t length)
	~nmrLinearRegressionWindowSolver ()
virtual size_t	WindowLength () const
bool	Sample (const _elementType &x, const _elementType &y)
bool	Sample (const vctDynamicVector< _elementType > &CMN_UNUSED(x), const vctDynamicVector< _elementType > &CMN_UNUSED(y))
bool	Sample (const vctDynamicConstVectorRef< _elementType > &CMN_UNUSED(x), const vctDynamicConstVectorRef< _elementType > &CMN_UNUSED(y))
bool	Sample (const std::vector< _elementType > &CMN_UNUSED(x), const std::vector< _elementType > &CMN_UNUSED(y))
virtual bool	Recalculate ()
bool	EstimateAsFractions (SummationType &slope_num, SummationType &yint_num, SummationType &denom, SummationType *tse_num=0)
Public Member Functions inherited from nmrLinearRegressionSolver< _elementType >
	nmrLinearRegressionSolver (_elementType tol=cmnTypeTraits< _elementType >::DefaultTolerance)
virtual	~nmrLinearRegressionSolver ()
size_t	NumPoints () const
_elementType	GetTolerance () const
void	SetTolerance (_elementType tol)
virtual void	Clear ()
virtual bool	Sample (const vctFixedSizeVector< _elementType, 2 > &in)
virtual bool	Sample (const vctFixedSizeConstVectorRef< _elementType, 2, 1 > &in)
virtual bool	Sample (const vctDynamicVector< _elementType > &x, const vctDynamicVector< _elementType > &y)
virtual bool	Sample (const vctDynamicConstVectorRef< _elementType > &x, const vctDynamicConstVectorRef< _elementType > &y)
virtual bool	Sample (const std::vector< _elementType > &x, const std::vector< _elementType > &y)
virtual bool	Estimate (_elementType &slope, _elementType &yint, _elementType *mse=0)

Additional Inherited Members
Public Types inherited from nmrLinearRegressionSolver< _elementType >
typedef _elementType	ElementType
typedef cmnTypeTraits< _elementType >::VaArgPromotion	SummationType
Protected Types inherited from nmrLinearRegressionWindowSolver< _elementType >
typedef nmrLinearRegressionSolver< _elementType >	BaseClass
typedef BaseClass::SummationType	SummationType
typedef std::vector< vctFixedSizeVector< _elementType, 2 > >	WindowType
typedef std::vector< vctFixedSizeVector< _elementType, 2 > >::iterator	WindowTypeIterator
Protected Member Functions inherited from nmrLinearRegressionSolver< _elementType >
virtual bool	ComputeSums (const _elementType &x, const _elementType &y)
template<class _vectorOwnerType>
bool	SampleVector (const vctDynamicConstVectorBase< _vectorOwnerType, _elementType > &x, const vctDynamicConstVectorBase< _vectorOwnerType, _elementType > &y)
Protected Attributes inherited from nmrLinearRegressionWindowSolver< _elementType >
WindowType	window
WindowTypeIterator	iter
Protected Attributes inherited from nmrLinearRegressionSolver< _elementType >
size_t	numpts
SummationType	Sx
SummationType	Sy
SummationType	Sxx
SummationType	Sxy
SummationType	Syy
SummationType	tolerance

Detailed Description

template<class _elementType>
class nmrLinearRegressionWindowRecursiveSolver< _elementType >

This class provides a recursive moving window linear regression solver using a least-squares solution. The window size is specified in the constructor. This implementation is recursive and therefore extremely efficient, regardless of window size. But, note that for floating point types, there is a chance for accumulation of round-off error with the recursive solver. There are two solutions: (1) use the non-recursive solver, nmrLinearRegressionWindowSolver, or (2) periodically call the Recalculate method, which is inherited from nmrLinearRegressionWindowSolver.

Constructor & Destructor Documentation

nmrLinearRegressionWindowRecursiveSolver()

template<class _elementType>

nmrLinearRegressionWindowRecursiveSolver< _elementType >::nmrLinearRegressionWindowRecursiveSolver ( size_t length )

inline

~nmrLinearRegressionWindowRecursiveSolver()

template<class _elementType>

nmrLinearRegressionWindowRecursiveSolver< _elementType >::~nmrLinearRegressionWindowRecursiveSolver ( )

inline

Member Function Documentation

EstimateAsFractions()

template<class _elementType>

bool nmrLinearRegressionWindowRecursiveSolver< _elementType >::EstimateAsFractions ( SummationType & slope_num, SummationType & yint_num, SummationType & denom, SummationType * tse_num = 0 )

inline

Call nmrLinearRegression::EstimateAsFractions (bypassing the version in the immediate base class)

Sample()

template<class _elementType>

bool nmrLinearRegressionWindowRecursiveSolver< _elementType >::Sample ( const _elementType & x, const _elementType & y )

inlinevirtual

Sample new element; overridden from base class

Reimplemented from nmrLinearRegressionSolver< _elementType >.

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The documentation for this class was generated from the following file:

• tmp/cisst-saw/cisst/cisstNumerical/nmrLinearRegression.h