\(L^p\)-approximation by truncated max-product sampling operators of Kantorovich-type based on Fejér kernel

From MaRDI portal
Publication:2011926

DOI10.1216/JIE-2017-29-2-349zbMath1371.41016OpenAlexW2627088308MaRDI QIDQ2011926

Lucian C. Coroianu, Sorin Gheorghe Gal

Publication date: 27 July 2017

Published in: Journal of Integral Equations and Applications (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.jiea/1497664832




Related Items (32)

A characterization of the convergence in variation for the generalized sampling seriesImprovement of retinal OCT angiograms by sampling Kantorovich algorithm in the assessment of retinal and choroidal perfusionApproximation by truncated Lupaş operators of max-product kindA characterization of the absolute continuity in terms of convergence in variation for the sampling Kantorovich operatorsMultidimensional sampling-Kantorovich operators in \textit{BV}-spacesConvergence Results for Nonlinear Sampling Kantorovich Operators in Modular SpacesConvergence of perturbed sampling Kantorovich operators in modular spacesApproximation by multivariate max-product Kantorovich-type operators and learning rates of least-squares regularized regressionQuantitative estimates for sampling type operators with respect to the Jordan variationApproximation by truncated max-product sampling Kantorovich operators in \(L^p\) spacesConvergence in variation for the multidimensional generalized sampling series and applications to smoothing for digital image processingA Quantitative Estimate for the Sampling Kantorovich Series in Terms of the Modulus of Continuity in Orlicz SpacesVariation diminishing-type properties for multivariate sampling Kantorovich operatorsEstimates for the neural network operators of the max-product type with continuous and \(p\)-integrable functionsApproximation results in Orlicz spaces for sequences of Kantorovich MAX-product neural network operatorsUnnamed ItemThe max-product generalized sampling operators: convergence and quantitative estimatesModified Bernstein-Kantorovich operators for functions of one and two variablesQuantitative estimates involving K-functionals for neural network-type operatorsSaturation by the Fourier transform method for the sampling Kantorovich series based on bandlimited kernelsQuantitative estimates for nonlinear sampling Kantorovich operatorsConvergence of sampling Kantorovich operators in modular spaces with applicationsExtension of saturation theorems for the sampling Kantorovich operatorsApproximation of differentiable and not differentiable signals by the first derivative of sampling Kantorovich operatorsDirect and inverse results for Kantorovich type exponential sampling seriesApproximation by mixed operators of max-product-Choquet typeApproximation by max-product operators of Kantorovich typeMultivariate sampling Kantorovich operators: quantitative estimates in Orlicz spacesApproximation by max-product sampling Kantorovich operators with generalized kernelsOn Approximation by Kantorovich Exponential Sampling OperatorsAbstract integration with respect to measures and applications to modular convergence in vector lattice settingConnections between the Approximation Orders of Positive Linear Operators and Their Max-Product Counterparts







This page was built for publication: \(L^p\)-approximation by truncated max-product sampling operators of Kantorovich-type based on Fejér kernel