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Wavellets: Overview, Applications and Curve Simplification

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dc.contributor.advisor Guha, Sumanta (Chairman) en_US
dc.contributor.author Sciardis, Yann en_US
dc.contributor.other Vatcharaporn Esichaikul (Member) en_US
dc.contributor.other Raphael Duboz (Member) en_US
dc.date.accessioned 2015-01-12T10:44:14Z
dc.date.available 2015-01-12T10:44:14Z
dc.date.issued 2012-05 en_US
dc.identifier.other AIT RSPR no.IM-12-08 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/497
dc.description.abstract Wavelet is a mathematical tool that can be used to analyze data from many different kinds including but not limited to audio signals and images. Wavelet is usually used for compressing/decompressing a signal with minimal loss. Even if the story of wavelet is quit young, we can already use a strong theory in many applications. The goal of this paper is to present the global ideas behind Fourier and wavelets analysis, along with some of their applications. As soon as the theory behind wavelets is known we will compare two algorithms: we will compare the Douglas-Peucker algorithm with wavelets in the process of curve simplification. en_US
dc.description.sponsorship Telecom SudParis en_US
dc.language.iso eng en_US
dc.subject.lcsh Others en_US
dc.title Wavellets: Overview, Applications and Curve Simplification en_US
dc.type Research Report en_US

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