GaussianNoiseModel Class Reference

Gaussian noise class. More...

#include <gz/sensors/GaussianNoiseModel.hh>

Public Member Functions
	GaussianNoiseModel ()
	Constructor. More...
virtual	~GaussianNoiseModel ()
	Destructor. More...
double	ApplyImpl (double _in, double _dt) override
	Apply noise to input data value. This gets overriden by derived classes, and called by Apply. More...
double	Bias () const
	Accessor for bias. More...
virtual void	Load (const sdf::Noise &_sdf) override
	Load noise parameters from sdf. More...
double	Mean () const
	Accessor for mean. More...
virtual void	Print (std::ostream &_out) const override
	Documentation inherited. More...
double	StdDev () const
	Accessor for stddev. More...
Public Member Functions inherited from Noise
	Noise (NoiseType _type)
	Constructor. This should not be called directly unless creating an empty noise model. Use NoiseFactory::NewNoiseModel to instantiate a new noise model. More...
virtual	~Noise ()
	Destructor. More...
double	Apply (double _in, double _dt=0.0)
	Apply noise to input data value. More...
virtual void	SetCustomNoiseCallback (std::function< double(double, double)> _cb)
	Register a custom noise callback. More...
NoiseType	Type () const
	Accessor for NoiseType. More...

Detailed Description

Gaussian noise class.

Constructor & Destructor Documentation

GaussianNoiseModel()

GaussianNoiseModel

(

)

Constructor.

~GaussianNoiseModel()

virtual ~GaussianNoiseModel ( )

virtual

Destructor.

Member Function Documentation

ApplyImpl()

double ApplyImpl ( double  _in, double  _dt  )

overridevirtual

Apply noise to input data value. This gets overriden by derived classes, and called by Apply.

Parameters

[in]	_in	Input data value.
[in]	_dt	Input data time step.

Returns

Data with noise applied.

Reimplemented from Noise.

Bias()

double Bias

(

)

const

Accessor for bias.

Returns

Bias on output.

Load()

virtual void Load ( const sdf::Noise &  _sdf )

overridevirtual

Load noise parameters from sdf.

Parameters

[in]

_sdf

SDF Noise DOM object.

Reimplemented from Noise.

Reimplemented in ImageGaussianNoiseModel.

Mean()

double Mean

(

)

const

Accessor for mean.

Returns

Mean of Gaussian noise.

Print()

virtual void Print ( std::ostream &  _out ) const

overridevirtual

Documentation inherited.

Reimplemented from Noise.

Reimplemented in ImageGaussianNoiseModel.

StdDev()

double StdDev

(

)

const

Accessor for stddev.

Returns

Standard deviation of Gaussian noise.

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

• GaussianNoiseModel.hh