Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier series

Abstract To start with, signals are dealt with as functions of one variable and images are shown by elements of two variables. The investigation of these ideas is directly related to the transpiring area of information technology. The approximation properties of the periodic signals in L r ( r ≥ 1 )...

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Main Authors: Deepmala, Laurian-Ioan Piscoran
Format: Article
Language:English
Published: SpringerOpen 2016-06-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13660-016-1101-5
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spelling doaj-df3085bb5c5349f5a75c7c36bbb791842020-11-24T22:01:46ZengSpringerOpenJournal of Inequalities and Applications1029-242X2016-06-012016111010.1186/s13660-016-1101-5Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier seriesDeepmala0Laurian-Ioan Piscoran1SQC and OR Unit, Indian Statistical InstituteDepartment of Mathematics and Computer Science, North University Center of Baia Mare, Technical University of Cluj NapocaAbstract To start with, signals are dealt with as functions of one variable and images are shown by elements of two variables. The investigation of these ideas is directly related to the transpiring area of information technology. The approximation properties of the periodic signals in L r ( r ≥ 1 ) $L^{r}\ (r \geq1)$ -spaces, Lipschitz classes Lipα, Lip ( α , r ) $\operatorname{Lip}(\alpha, r)$ , Lip ( ξ ( t ) , r ) $\operatorname{Lip}(\xi(t), r)$ , and a weighted Lipschitz class W ( L r , ξ ( t ) ) $W(L^{r}, \xi( t))$ through a Fourier series, known as the Fourier approximation in the approximation theory, have wide applications in digital filters and signal analysis. The goal of our paper is to concentrate on the approximation properties of the periodic signals (functions) in the Lipschitz classes by almost Riesz means of the Fourier series associated with the function f. We additionally take note of the fact that our outcomes give sharper estimates than the estimates in some of the known results.http://link.springer.com/article/10.1186/s13660-016-1101-5degree of approximationtrigonometric Fourier approximationW ( L r , ξ ( t ) ) $W(L^{r}, \xi( t))$ -class of functionsalmost Riesz means
collection DOAJ
language English
format Article
sources DOAJ
author Deepmala
Laurian-Ioan Piscoran
spellingShingle Deepmala
Laurian-Ioan Piscoran
Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier series
Journal of Inequalities and Applications
degree of approximation
trigonometric Fourier approximation
W ( L r , ξ ( t ) ) $W(L^{r}, \xi( t))$ -class of functions
almost Riesz means
author_facet Deepmala
Laurian-Ioan Piscoran
author_sort Deepmala
title Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier series
title_short Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier series
title_full Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier series
title_fullStr Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier series
title_full_unstemmed Approximation of signals (functions) belonging to certain Lipschitz classes by almost Riesz means of its Fourier series
title_sort approximation of signals (functions) belonging to certain lipschitz classes by almost riesz means of its fourier series
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1029-242X
publishDate 2016-06-01
description Abstract To start with, signals are dealt with as functions of one variable and images are shown by elements of two variables. The investigation of these ideas is directly related to the transpiring area of information technology. The approximation properties of the periodic signals in L r ( r ≥ 1 ) $L^{r}\ (r \geq1)$ -spaces, Lipschitz classes Lipα, Lip ( α , r ) $\operatorname{Lip}(\alpha, r)$ , Lip ( ξ ( t ) , r ) $\operatorname{Lip}(\xi(t), r)$ , and a weighted Lipschitz class W ( L r , ξ ( t ) ) $W(L^{r}, \xi( t))$ through a Fourier series, known as the Fourier approximation in the approximation theory, have wide applications in digital filters and signal analysis. The goal of our paper is to concentrate on the approximation properties of the periodic signals (functions) in the Lipschitz classes by almost Riesz means of the Fourier series associated with the function f. We additionally take note of the fact that our outcomes give sharper estimates than the estimates in some of the known results.
topic degree of approximation
trigonometric Fourier approximation
W ( L r , ξ ( t ) ) $W(L^{r}, \xi( t))$ -class of functions
almost Riesz means
url http://link.springer.com/article/10.1186/s13660-016-1101-5
work_keys_str_mv AT deepmala approximationofsignalsfunctionsbelongingtocertainlipschitzclassesbyalmostrieszmeansofitsfourierseries
AT laurianioanpiscoran approximationofsignalsfunctionsbelongingtocertainlipschitzclassesbyalmostrieszmeansofitsfourierseries
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