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008 220601s2006 sz | s |||| 0|eng d
020 _a9783031025266
024 7 _a10.1007/978-3-031-02526-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5102.9
_b2006 EB
100 1 _aAlmeida, L. B.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687632
_q(Luis B.)
245 1 0 _aNonlinear Source Separation
_cby Luis Almeida
250 _a1st edition 2006
264 1 _aCham
_bSpringer International Publishing
_c2006
300 _a1 recurso en línea (XII, 101 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Signal Processing
_x1932-1694
505 0 _aIntroduction -- Linear Source Separation -- Nonlinear Separation -- Final Comments -- Statistical Concepts -- Online Software and Data.
520 _aThe purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject, however nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years. This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years.
988 _aSynthesis Collection of Technology_2006
650 7 _2embne
_9667714
_aSistemas no lineales
650 7 _2embne
_9150608
_aProceso de señales
776 0 8 _iPrinted edition:
_z9783031013980
776 0 8 _iPrinted edition:
_z9783031036545
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02526-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_esc
_zSI