dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:33:25Z
dc.date.available2018-12-11T17:33:25Z
dc.date.created2018-12-11T17:33:25Z
dc.date.issued2018-05-01
dc.identifierInformation Fusion, v. 41, p. 9-15.
dc.identifier1566-2535
dc.identifierhttp://hdl.handle.net/11449/179068
dc.identifier10.1016/j.inffus.2017.07.004
dc.identifier2-s2.0-85026629929
dc.identifier2-s2.0-85026629929.pdf
dc.identifier6542086226808067
dc.identifier0000-0002-0924-8024
dc.description.abstractThis article introduces the second generation of the Discrete Shapelet Transform (DST-II), a tool created for fusing three types of information: time, frequency and shape-related. Considered a particular Discrete Wavelet Transform (DWT), it allows a productive time-frequency-shape (TFS) joint analysis. In the proposed approach, both the procedure to attain the corresponding filters coefficients and the interpretation of the transformed signal are simplified in relation to the usage of its predecessor, i.e., the DST. Throughout the article, the DST-II formulation is described in detail, including a numerical example, a prototype for use in a diversity of fields and an application on spike and overlap sorting, reassuring the efficacy of the new transform.
dc.languageeng
dc.relationInformation Fusion
dc.relation1,832
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDiscrete shapelet transform (DST)
dc.subjectDiscrete wavelet transform (DWT)
dc.subjectInformation fusion
dc.subjectPattern analysis
dc.subjectSignal processing
dc.subjectTime-frequency-shape (TFS) joint analysis
dc.titleFusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II)
dc.typeArtículos de revistas


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