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One approach to the solution of volterra integral equations with degenerate kernelsOne approach to the solution of volterra integral equations with degenerate kernels
Wavelets and frames based on Walsh-Dirichlet type kernelsWavelets and frames based on Walsh-Dirichlet type kernels
Parseval frames related to the generalized Walsh-Dirichlet kernelParseval frames related to the generalized Walsh-Dirichlet kernel
One approach to the solution of volterra integral equations with degenerate kernelsOne approach to the solution of volterra integral equations with degenerate kernels
Problem of Determining a Multidimensional Kernel in One Parabolic Integro–differential Equation. In this paper it is studied the inverse problem consisting in finding of a time and spatial
dependent kernel
Fully polarimetric synthetic aperture radar data classification using probabilistic and non-probabilistic kernel methods for PolSAR data classification, and among them kernel methods are the most attractive algorithms
Distributions supported on conical surfaces and generated convolutions transform for some cones. The results are represented as convolutions with particular kernels. We use
Approximate solution of integral equations with a strong singularity in the kernelApproximate solution of integral equations with a strong singularity in the kernel
Asymptotic normality of kernel type density estimators for random fieldsKernel type density estimators are studied for random fields. It is proved that the estimators
Galerkin Approximation for Stochastic Volterra Integral Equations with Doubly Singular Kernels with doubly singular kernels, whose singular points include both s = t and s = 0.
We propose a Galerkin
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