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distributions, the resulting general integral equation of convolution type is reduced to a fractional order

An analogue of the classical Young's inequality for convolutions of functions is proved in the case

We obtain upper and similar lower estimates of the (Lp,Lq) norm for the convolution operator

This topic uses convolutional neural network deep learning algorithm technology to design a gesture

dimensional approximation which is a cyclic convolution. Using properties of a discrete Fourier transform

“measured quantities” obtained from the original classical quantities by convolution with Wigner function

of homogeneous convolution equations f μ j = 0, j = 1; : : : ;m, f ∈ E(Rⁿ), μ j ∈ E′(Rⁿ), is derived, when

Convoluted solutions in supergravity

Convolutional neural networks for detection geo-objects on the satellite images from DSTL, Landsat

For a locally compact group G, the convolution product on the space N(Lp(G)) of nuclear operators

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