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Convolutions (Mathematics)

概要

作品:	20 作品在 8 項出版品 8 種語言

書目資訊

Generalized gamma convolutions and related classes of distributions and densities / by: (書目-語言資料,印刷品)

Distributions and convolution equations / by: (書目-語言資料,印刷品)

The hypergeometric approach to integral transforms and convolutions / by: (書目-語言資料,印刷品)

Convolutional codes = an algebraic approach / by: (書目-語言資料,印刷品)

Matrix convolution operators on groups / by: (書目-語言資料,印刷品)

Distribution theory = convolution, fourier transform, and laplace transform / by: (書目-電子資源)

A guide to convolutional neural networks for computer vision by: (書目-電子資源)

Integral equation methods for evolutionary PDE = a convolution quadrature approach / by: (書目-電子資源)

A variational theory of convolution-type functionals by: (書目-電子資源)

Convolution-like structures, differential operators and diffusion processes by: (書目-電子資源)

主題

Integral transforms.

Probability measures.

Error-correcting codes (Information theory)

Differential operators.

Convolutions (Mathematics)

Distribution (Probability theory)

Operator Theory.

Numerical Analysis.

Probability Theory and Stochastic Processes.

Fourier transformations.

Diffusion processes.

Integral Transforms and Operational Calculus.

Calculus of Variations and Optimization.

Operator theory.

Bernstein polynomials.

Hypergeometric functions.

Matrix groups.

Mathematics.

Non-associative Rings and Algebras.

Potential Theory.

Topological Groups, Lie Groups.

Analysis.

Approximations and Expansions.

Neural networks (Computer science)

Signal processing- Mathematics.

Linear operators.

Locally compact groups.

Integral equations.

Random walks (Mathematics)

Probability Theory.

Functional Analysis.

Cauchy problem.

Wireless communication systems.

C*-algebras.

Partial Differential Equations.

Semigroups.

Random measures.

Laplace transformation.

Theory of distributions (Functional analysis)

Coding theory.

Abstract Harmonic Analysis.

Differential Geometry.

Integral Equations.

Integral Transforms, Operational Calculus.

Singular integrals.

Probability and Statistics in Computer Science.

Computer vision- Mathematical models.

Special Functions.

System identification.

Artificial satellites in telecommunication.

Random matrices.

Differential equations, Partial.

Variational principles.