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Title: Applications of Wavelet Multiresolution Analysis ([EBook] /) / edited by Juan Pablo Muszkats, Silvia Alejandra Seminara, María Inés Troparevsky. Dewey Class: 519 Edition statement: 1st ed. 2021. Added Personal Name: Muszkats, Juan Pablo. editor. Seminara, Silvia Alejandra. editor. Troparevsky, María Inés. editor. Publication: Cham : : Springer International Publishing : : Imprint: Springer,, 2021. Other name(s): SpringerLink (Online service) Physical Details: XII, 88 p. 46 illus., 36 illus. in color. : online resource. Series: ICIAM 2019 SEMA SIMAI Springer Series,2662-7191 ;; 4 ISBN: 9783030617134 Mode of acces to digital resource: Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. System details note: Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). Summary Note: This work results from a selection of the contributions presented in the mini symposium “Applications of Multiresolution Analysis with “Wavelets”, presented at the ICIAM 19, the International Congress on Industrial and Applied Mathematics held at Valencia, Spain, in July 2019. The presented developments and applications cover different areas, including filtering, signal analysis for damage detection, time series analysis, solutions to boundary value problems and fractional calculus. This bunch of examples highlights the importance of multiresolution analysis to face problems in several and varied disciplines. The book is addressed to researchers in the field.: Contents note: Fabio, M. et al., Approximate Solutions to Fractional Boundary Value Problems by Wavelet Decomposition Methods -- Calderón, L., Wavelet B-splines bases on the interval for solving boundary value problems -- La Mura, G. et al, Kalman-Wavelet combined Filtering -- Arouxet, M. et al., Using the Wavelet Transform for Time Series Analysis -- Muszkats, J. et al., Application of Wavelet Transform to Damage Detection in Brittle Materials via Energy and Entropy Evaluation of Acoustic Emission Signals. ------------------------------ *** There are no holdings for this record *** -----------------------------------------------
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