Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces

We consider error estimates of iterative algorithm in shift-invariant signal spaces. For the classical sampling and reconstruction algorithm, error estimate from its samples corrupted by white noises are widely studied, but the error analysis of noise with time jitter and iterative noise has not bee...

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Main Author: Jun Xian
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2010/214213
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author Jun Xian
author_facet Jun Xian
author_sort Jun Xian
collection DOAJ
description We consider error estimates of iterative algorithm in shift-invariant signal spaces. For the classical sampling and reconstruction algorithm, error estimate from its samples corrupted by white noises are widely studied, but the error analysis of noise with time jitter and iterative noise has not been given as much attention. In this paper, three types of error estimates are studied. In detail, we obtain the error estimate for reconstructing a signal from its noise samples, noise samples with time jitter, and iterative noise.
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institution Kabale University
issn 1085-3375
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language English
publishDate 2010-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-9f4fe4222d56431ca9daa1a4c811f4e92025-02-03T05:58:43ZengWileyAbstract and Applied Analysis1085-33751687-04092010-01-01201010.1155/2010/214213214213Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal SpacesJun Xian0Department of Mathematics, Sun Yat-Sen University, Guangzhou 510275, ChinaWe consider error estimates of iterative algorithm in shift-invariant signal spaces. For the classical sampling and reconstruction algorithm, error estimate from its samples corrupted by white noises are widely studied, but the error analysis of noise with time jitter and iterative noise has not been given as much attention. In this paper, three types of error estimates are studied. In detail, we obtain the error estimate for reconstructing a signal from its noise samples, noise samples with time jitter, and iterative noise.http://dx.doi.org/10.1155/2010/214213
spellingShingle Jun Xian
Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces
Abstract and Applied Analysis
title Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces
title_full Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces
title_fullStr Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces
title_full_unstemmed Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces
title_short Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces
title_sort error estimates from noise samples for iterative algorithm in shift invariant signal spaces
url http://dx.doi.org/10.1155/2010/214213
work_keys_str_mv AT junxian errorestimatesfromnoisesamplesforiterativealgorithminshiftinvariantsignalspaces