Filtering out high frequencies in time series using F-transform

From MaRDI portal
Publication:726377

DOI10.1016/j.ins.2014.02.133zbMath1343.62069OpenAlexW2037138572MaRDI QIDQ726377

Michal Holčapek, Vladik Ya. Kreinovich, Vilém Novák, Irina Perfilieva

Publication date: 8 July 2016

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.02.133




Related Items (20)

The F-transform preprocessing for JPEG strong compression of high-resolution imagesGENERALIZED RESIDUATED LATTICES BASED F-TRANSFORMMining information from time series in the form of sentences of natural languageCubic B-spline fuzzy transforms for an efficient and secure compression in wireless sensor networksLinguistic characterization of time seriesApproximation by multivariate higher degree \(F\)-transform based on B-splinesSuppression of High Frequencies in Time Series Using Fuzzy Transform of Higher DegreeTime Series: How Unusual Local Behavior Can Be Recognized Using Fuzzy Modeling MethodsF-transforms determined by implicatorsProperties of fuzzy transform obtained from \(L_p\) minimization and a connection with Zadeh's extension principleNecessary and sufficient conditions for generalized uniform fuzzy partitionsAdaptive periodic noise reduction in digital images using fuzzy transformPolynomial alias higher degree fuzzy transform of complex-valued functionsOn the structural properties of \(F^m\)-transform with applicationsWhy use a fuzzy partition in F-transform?Why triangular membership functions are successfully used in F-transform applications: a global explanation to supplement the existing local onesA review on the application of fuzzy transform in data and image compressionForecasting seasonal time series based on fuzzy techniquesQuantile and expectile smoothing based on \(L_1\)-norm and \(L_2\)-norm fuzzy transformsAnalysis of autocorrelation function of stochastic processes by F-transform of higher degree


Uses Software


Cites Work


This page was built for publication: Filtering out high frequencies in time series using F-transform