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Detecting discontinuity points from spectral data with the quotient-difference (qd) algorithm

Authors :
Allouche, Hassane
Ghanou, Noura
Tigma, Khalid
Source :
Journal of Computational & Applied Mathematics. Mar2012, Vol. 236 Issue 9, p2406-2424. 19p.
Publication Year :
2012

Abstract

Abstract: This paper introduces a new technique for the localization of discontinuity points from spectral data. Through this work, we will be able to detect discontinuity points of a -periodic piecewise smooth function from its Fourier coefficients. This could be useful in detecting edges and reducing the effects of the Gibbs phenomenon which appears near discontinuities and affects signal restitution. Our approach consists in moving from a discontinuity point detection problem to a pole detection problem, then adapting the quotient-difference (qd) algorithm in order to detect those discontinuity points. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
03770427
Volume :
236
Issue :
9
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
71369160
Full Text :
https://doi.org/10.1016/j.cam.2011.11.027