Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/61299
Type: Artigo de periódico
Title: Detection of edges from spectral data: New results
Author: Wei, MS
Martinez, AG
De Pierro, AR
Abstract: We are concerned with the problem of recovering edges of piecewise smooth functions with finitely many jump discontinuities. In a series of papers, Gelb and Tadmor presented computationally simple methods for this task that are based on the conjugate Fourier series with different concentration kernels. In this article we present experimental results comparing conjugate series based methods with a new approach based on polynomial filters and suitable approximations. This new approach proves to be more accurate and stable. (c) 2006 Elsevier Inc. All rights reserved.
Subject: Fourier transform
FFT
Gibbs phenomenon
detection of discontinuities
Country: EUA
Editor: Academic Press Inc Elsevier Science
Rights: fechado
Identifier DOI: 10.1016/j.acha.2006.10.002
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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