Non Linear Conditional Gaussian. More...
#include <nonlinearanalyticconditionalgaussianmobile.h>
Public Member Functions | |
| virtual MatrixWrapper::Matrix | dfGet (unsigned int i) const |
| returns derivative from function to n-th conditional variable | |
| virtual MatrixWrapper::Matrix | dfGet (unsigned int i) const |
| returns derivative from function to n-th conditional variable | |
| virtual MatrixWrapper::ColumnVector | ExpectedValueGet () const |
| Get the expected value E[x] of the pdf. | |
| virtual MatrixWrapper::ColumnVector | ExpectedValueGet () const |
| Get the expected value E[x] of the pdf. | |
| NonLinearAnalyticConditionalGaussianMobile (const Gaussian &additiveNoise) | |
| Constructor. | |
| NonLinearAnalyticConditionalGaussianMobile (const Gaussian &additiveNoise) | |
| Constructor. | |
| virtual | ~NonLinearAnalyticConditionalGaussianMobile () |
| Destructor. | |
| virtual | ~NonLinearAnalyticConditionalGaussianMobile () |
| Destructor. | |
Detailed Description
Non Linear Conditional Gaussian.
![$ \mu = Matrix[1] . ConditionalArguments[0] + Matrix[2]. ConditionalArguments[1] + ... + Noise.\mu $](form_0.png)
- Covariance is independent of the ConditionalArguments, and is the covariance of the Noise pdf
Definition at line 34 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.h.
Constructor & Destructor Documentation
| BFL::NonLinearAnalyticConditionalGaussianMobile::NonLinearAnalyticConditionalGaussianMobile | ( | const Gaussian & | additiveNoise | ) |
Constructor.
- Precondition:
- : Every Matrix should have the same amount of rows! This is currently not checked. The same goes for the number of columns, which should be equal to the number of rows of the corresponding conditional argument!
- Parameters:
-
ratio,: vector containing the different matrices of the linear relationship between the conditional arguments and 
additiveNoise Pdf representing the additive Gaussian uncertainty
Definition at line 29 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.
| BFL::NonLinearAnalyticConditionalGaussianMobile::~NonLinearAnalyticConditionalGaussianMobile | ( | ) | [virtual] |
Destructor.
Definition at line 35 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.
| BFL::NonLinearAnalyticConditionalGaussianMobile::NonLinearAnalyticConditionalGaussianMobile | ( | const Gaussian & | additiveNoise | ) |
Constructor.
- Precondition:
- : Every Matrix should have the same amount of rows! This is currently not checked. The same goes for the number of columns, which should be equal to the number of rows of the corresponding conditional argument!
| virtual BFL::NonLinearAnalyticConditionalGaussianMobile::~NonLinearAnalyticConditionalGaussianMobile | ( | ) | [virtual] |
Destructor.
Member Function Documentation
| virtual MatrixWrapper::Matrix BFL::NonLinearAnalyticConditionalGaussianMobile::dfGet | ( | unsigned int | i | ) | const [virtual] |
returns derivative from function to n-th conditional variable
- Parameters:
-
i Number of the conditional variable to use for partial derivation
- Returns:
- Partial derivative with respect to conditional variable i
Reimplemented from BFL::AnalyticConditionalGaussian.
| Matrix BFL::NonLinearAnalyticConditionalGaussianMobile::dfGet | ( | unsigned int | i | ) | const [virtual] |
returns derivative from function to n-th conditional variable
- Parameters:
-
i Number of the conditional variable to use for partial derivation
- Returns:
- Partial derivative with respect to conditional variable i
Reimplemented from BFL::AnalyticConditionalGaussian.
Definition at line 47 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.
| virtual MatrixWrapper::ColumnVector BFL::NonLinearAnalyticConditionalGaussianMobile::ExpectedValueGet | ( | ) | const [virtual] |
Get the expected value E[x] of the pdf.
Get low order statistic (Expected Value) of this AnalyticPdf
- Returns:
- The Expected Value of the Pdf (a ColumnVector with DIMENSION rows)
- Note:
- No set functions here! This can be useful for analytic functions, but not for sample based representations!
- For certain discrete Pdfs, this function has no meaning, what is the average between yes and no?
Reimplemented from BFL::BFL::Pdf< MatrixWrapper::ColumnVector >.
| ColumnVector BFL::NonLinearAnalyticConditionalGaussianMobile::ExpectedValueGet | ( | ) | const [virtual] |
Get the expected value E[x] of the pdf.
Get low order statistic (Expected Value) of this AnalyticPdf
- Returns:
- The Expected Value of the Pdf (a ColumnVector with DIMENSION rows)
- Note:
- No set functions here! This can be useful for analytic functions, but not for sample based representations!
- For certain discrete Pdfs, this function has no meaning, what is the average between yes and no?
Reimplemented from BFL::BFL::Pdf< MatrixWrapper::ColumnVector >.
Definition at line 37 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.
The documentation for this class was generated from the following files: