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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 2015
ISBN 10: 148998884X ISBN 13: 9781489988843
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 136,92
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Aggiungi al carrelloPaperback. Condizione: New. 2013 ed. This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.
Condizione: New. pp. 190.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 2015
ISBN 10: 148998884X ISBN 13: 9781489988843
Da: Rarewaves.com UK, London, Regno Unito
EUR 128,62
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Aggiungi al carrelloPaperback. Condizione: New. 2013 ed. This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.
EUR 131,10
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Particle Filters for Random Set Models | Branko Ristic | Taschenbuch | xiv | Englisch | 2015 | Springer New York | EAN 9781489988843 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer New York, Springer New York, 2015
ISBN 10: 148998884X ISBN 13: 9781489988843
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 148,59
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.
EUR 254,35
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Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,26
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., 2015
ISBN 10: 148998884X ISBN 13: 9781489988843
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 131,95
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Springer New York Mai 2015, 2015
ISBN 10: 148998884X ISBN 13: 9781489988843
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation. 188 pp. Englisch.
Da: moluna, Greven, Germania
EUR 127,40
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a hands-on engineering approach to filtering algorithms and their implementation Covers a new generation of particle filters, which are applicable to a much wider class of signal processing applications Includes sensor control for p.
Da: Majestic Books, Hounslow, Regno Unito
EUR 204,86
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 190.
Lingua: Inglese
Editore: Springer New York, Springer New York Mai 2015, 2015
ISBN 10: 148998884X ISBN 13: 9781489988843
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This bookdiscusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 205,39
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 190.