clue::GaussianKernel Class Reference

The GaussianKernel class implements a Gaussian kernel for convolution. It computes the kernel value based on the Gaussian function, which is defined by its average, standard deviation, and amplitude. More...

#include <ConvolutionalKernel.hpp>

Public Member Functions
	GaussianKernel (float gaus_avg, float gaus_std, float gaus_amplitude)
	Construct a GaussianKernel object.
template<typename TAcc>
ALPAKA_FN_HOST_ACC float	operator() (const TAcc &acc, float dist_ij, int point_id, int j) const
	Computes the kernel value between two points.

Detailed Description

The GaussianKernel class implements a Gaussian kernel for convolution. It computes the kernel value based on the Gaussian function, which is defined by its average, standard deviation, and amplitude.

Constructor & Destructor Documentation

GaussianKernel()

clue::GaussianKernel::GaussianKernel	(	float	gaus_avg,
		float	gaus_std,
		float	gaus_amplitude )

Construct a GaussianKernel object.

Parameters

gaus_avg	The average value for the Gaussian kernel
gaus_std	The standard deviation for the Gaussian kernel
gaus_amplitude	The amplitude for the Gaussian kernel

Member Function Documentation

operator()()

template<typename TAcc>

ALPAKA_FN_HOST_ACC float clue::GaussianKernel::operator()	(	const TAcc &	acc,
		float	dist_ij,
		int	point_id,
		int	j ) const

Computes the kernel value between two points.

Parameters

acc	The accelerator to use for the computation
dist_ij	The distance between the two points
point_id	The index of the first point
j	The index of the second point

Returns

The computed kernel value

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

• include/CLUEstering/core/ConvolutionalKernel.hpp