Results 31 to 40 of about 1,012,747 (224)

Optimization of the 2P fifth degree convolution kernel in the spectral domain [PDF]

open access: yesBulletin of Natural Sciences Research, 2023
The first part of the paper describes a two-parameter (2P) fifth-order interpolation kernel, r. After that, from the 2P kernel, the kernel components were created.
Savić Nataša   +2 more
doaj   +1 more source

Collocating Convolutions [PDF]

open access: yesMathematics of Computation, 1995
An explicit method is derived for collocating either of the convolution integrals p ( x ) = ∫ a x f ( x − t ) g ( t ) d t p(x) = \smallint _a^xf(x - t)g(t)dt or q (
openaire   +1 more source

Polar Convolution

open access: yesSIAM Journal on Optimization, 2019
The Moreau envelope is one of the key convexity-preserving functional operations in convex analysis, and it is central to the development and analysis of many approaches for convex optimization. This paper develops the theory for an analogous convolution operation, called the polar envelope, specialized to gauge functions.
Michael P. Friedlander   +2 more
openaire   +3 more sources

Multipliers of Banach valued weighted function spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2000
We generalize Banach valued spaces to Banach valued weighted function spaces and study the multipliers space of these spaces. We also show the relationship between multipliers and tensor product of Banach valued weighted function spaces.
Serap Öztop
doaj   +1 more source

Enhanced CNN for image denoising

open access: yesCAAI Transactions on Intelligence Technology, 2019
Owing to the flexible architectures of deep convolutional neural networks (CNNs) are successfully used for image denoising. However, they suffer from the following drawbacks: (i) deep network architecture is very difficult to train.
Chunwei Tian   +5 more
doaj   +1 more source

Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array

open access: yesIEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2020
Oscillator neural networks (ONNs) are a promising hardware option for artificial intelligence. With an abundance of theoretical treatments of ONNs, few experimental implementations exist to date.
Dmitri E. Nikonov   +8 more
doaj   +1 more source

Certain Properties of Harmonic Functions Defined by a Second-Order Differential Inequality

open access: yesMathematics, 2023
The Theory of Complex Functions has been studied by many scientists and its application area has become a very wide subject. Harmonic functions play a crucial role in various fields of mathematics, physics, engineering, and other scientific disciplines ...
Daniel Breaz   +4 more
doaj   +1 more source

Generalized transforms and convolutions

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1997
In this paper, using the concept of a generalized Feynman integral, we define a generalized Fourier-Feynman transform and a generalized convolution product.
Timothy Huffman   +2 more
doaj   +1 more source

Hartley transform and the use of the Whitened Hartley spectrum as a tool for phase spectral processing

open access: yesThe Journal of Engineering, 2015
The Hartley transform is a mathematical transformation which is closely related to the better known Fourier transform. The properties that differentiate the Hartley Transform from its Fourier counterpart are that the forward and the inverse transforms ...
Ioannis Paraskevas   +2 more
doaj   +1 more source

Convolutional Codes

open access: yes, 2020
published
Lieb, Julia   +2 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy