isce3::cuda::core::ChebyKernel< T > Class Template Reference

Chebyshev polynomial kernel. More...

#include <Kernels.h>

Inheritance diagram for isce3::cuda::core::ChebyKernel< T >:

Public Types
using	view_type = ChebyKernelView<T>
	A non-owning kernel view type that can be passed to device code.
Public Types inherited from isce3::cuda::core::Kernel< T, ChebyKernel< T > >
using	value_type
	Kernel coefficients value type.

Public Member Functions
template<class OtherKernel>
	ChebyKernel (const OtherKernel &kernel, int n)
	Construct a new ChebyKernel object by computing a fit to another kernel.
	ChebyKernel (const isce3::core::ChebyKernel< T > &other)
	Construct from corresponding host kernel object.
CUDA_DEV T	operator() (double t) const
	Evaluate the kernel at a given location in [-halfwidth, halfwidth].
Public Member Functions inherited from isce3::cuda::core::Kernel< T, ChebyKernel< T > >
constexpr	Kernel (double width) noexcept
	Construct a new Kernel object.
constexpr double	halfwidth () const noexcept
	Get the halfwidth of the kernel.
constexpr double	width () const noexcept
	Get the width of the kernel.
CUDA_HOSTDEV T	operator() (double t) const
	Evaluate the kernel at a given location in [-halfwidth, halfwidth].
constexpr	Kernel (double width) noexcept
	Construct a new Kernel object.
constexpr double	halfwidth () const noexcept
	Get the halfwidth of the kernel.
constexpr double	width () const noexcept
	Get the width of the kernel.
CUDA_HOSTDEV T	operator() (double t) const
	Evaluate the kernel at a given location in [-halfwidth, halfwidth].

Protected Member Functions
CUDA_DEV T	eval (double t) const

Friends
class	ChebyKernelView< T >

Detailed Description

template<typename T>
class isce3::cuda::core::ChebyKernel< T >

Chebyshev polynomial kernel.

Constructor & Destructor Documentation

ChebyKernel()

template<typename T>

template<class OtherKernel>

isce3::cuda::core::ChebyKernel< T >::ChebyKernel	(	const OtherKernel &	kernel,
		int	n )

Construct a new ChebyKernel object by computing a fit to another kernel.

The input kernel is assumed to be even.

Parameters

[in]	kernel	Kernel to fit
[in]	n	Number of coefficients

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

• /home/runner/work/isce3/isce3/cxx/isce3/cuda/core/forward.h
• /home/runner/work/isce3/isce3/cxx/isce3/cuda/core/Kernels.h
• /home/runner/work/isce3/isce3/cxx/isce3/cuda/core/Kernels.icc