Results 21 to 30 of about 516,084 (257)
Fast and oblivious convolution quadrature [PDF]
, 2005 We give an algorithm to compute $N$ steps of a convolution quadrature approximation to a continuous temporal convolution using only $O(N \log N)$ multiplications and $O(\log N)$ active memory.
Lubich, Christian +2 more
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SIAM 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
Topological convolution algebras [PDF]
, 2013 In this paper we introduce a new family of topological convolution algebras of the form $\bigcup_{p\in\mathbb N} L_2(S,\mu_p)$, where $S$ is a Borel semi-group in a locally compact group $G$, which carries an inequality of the type $\|f*g\|_p\le A_{p,q}\|
Alpay, Daniel, Salomon, Guy
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Study on radar echo image quality control based on improved convolution technology
暴雨灾害, 2022 Based on the principle of convolution calculation,this study improves the conventional convolution method and constructs the isolated point convolution kernel,linear convolution kernel,and weak echo convolution kernel. Based on this improved conventional
Daoyang NIE, An XIAO, Houjie XIA
doaj +1 more source
A Generalized Class of Univalent Harmonic Functions Associated with a Multiplier Transformation [PDF]
Sahand Communications in Mathematical Analysis, 2021 We define a new subclass of univalent harmonic mappings using multiplier transformation and investigate various properties like necessary and sufficient conditions, extreme points, starlikeness, radius of convexity.
Deeplai Khurana +3 more
doaj +1 more source
Random convolution ensembles [PDF]
, 2007 A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is generated and applied to all of the images in the labeled training set. The
Mayo, Michael
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Harmonic analysis on Heisenberg--Clifford Lie supergroups
, 2011 We define a Fourier transform and a convolution product for functions and distributions on Heisenberg--Clifford Lie supergroups. The Fourier transform exchanges the convolution and a pointwise product, and is an intertwining operator for the left regular
Alldridge, Alexander +2 more
core +1 more source
SDAUNet: A simple dual attention mechanism UNet for mixed noise removal
IET Image Processing, 2023 Convolutional neural networks (CNNs) have demonstrated impressive results in additive white Gaussian noise removal due to their strong fitting ability.
Jielin Jiang +4 more
doaj +1 more source
Non-Schlesinger Isomonodromic Deformations of Fuchsian Systems and Middle Convolution [PDF]
, 2015 The paper is devoted to non-Schlesinger isomonodromic deformations for resonant Fuchsian systems. There are very few explicit examples of such deformations in the literature.
Bibilo, Yulia, Filipuk, Galina
core +2 more sources