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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Electromagnetic Brain Imaging | A Bayesian Perspective | Kensuke Sekihara (u. a.) | Taschenbuch | xiv | Englisch | 2016 | Springer | EAN 9783319356433 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 284 pages. 9.25x6.10x0.67 inches. In Stock.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.
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Lingua: Inglese
Editore: Springer International Publishing Okt 2016, 2016
ISBN 10: 3319356437 ISBN 13: 9783319356433
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging. 284 pp. Englisch.
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 270.
Lingua: Inglese
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ISBN 10: 3319356437 ISBN 13: 9783319356433
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a theoretical framework for source imaging methodologySpecific focus on Bayesian algorithms Unique approach to the recent advances This graduate level textbook provides a coherent introduction to the body of main-stream .
Lingua: Inglese
Editore: Springer, Springer Okt 2016, 2016
ISBN 10: 3319356437 ISBN 13: 9783319356433
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 74,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.