dc.creatorTakahata A.K.
dc.creatorNadalin E.Z.
dc.creatorFerrari R.
dc.creatorDuarte L.T.
dc.creatorSuyama R.
dc.creatorLopes R.R.
dc.creatorRomano J.M.T.
dc.creatorTygel M.
dc.date2012
dc.date2015-06-26T20:30:22Z
dc.date2015-11-26T14:30:13Z
dc.date2015-06-26T20:30:22Z
dc.date2015-11-26T14:30:13Z
dc.date.accessioned2018-03-28T21:33:29Z
dc.date.available2018-03-28T21:33:29Z
dc.identifier
dc.identifierIeee Signal Processing Magazine. , v. 29, n. 4, p. 27 - 35, 2012.
dc.identifier10535888
dc.identifier10.1109/MSP.2012.2189999
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84862571163&partnerID=40&md5=cf7c171f76042cbc78c6cee1bf4e066a
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/97310
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/97310
dc.identifier2-s2.0-84862571163
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1247043
dc.descriptionUnsupervised signal processing has been an exciting theme of research for at least three decades. It finds the potential application in practically all fields where well-established techniques of digital signal processing have been employed, including telecommunications; speech and audio processing; image, radar, and sonar; and biomedical signals. Among these classical problems, geophysical signal processing has played a prominent role in the development of unsupervised methods. In fact, the field of unsupervised processing can be said to have started with the early application of Wiener's theories to seismology. © 2012 IEEE.
dc.description29
dc.description4
dc.description27
dc.description35
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dc.languageen
dc.publisher
dc.relationIEEE Signal Processing Magazine
dc.rightsfechado
dc.sourceScopus
dc.titleUnsupervised Processing Of Geophysical Signals: A Review Of Some Key Aspects Of Blind Deconvolution And Blind Source Separation
dc.typeArtículos de revistas


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