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Smoothing filtering prediction estimating (4 risultati)

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  • Lingua: Inglese

    Editore: Scitus Academics Llc

    1681176068 / 9781681176062

    • Rilegato

    Da: Basi6 International, Irving, TX, U.S.A.Basi6 International

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    Condizione: Nuovo

    EUR 117,02

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 1 disponibile

    Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

  • Lingua: Inglese

    Editore: InTechOpen, 2012

    9533077522 / 9789533077529

    • Brossura

    Da: California Books, Miami, FL, U.S.A.California Books

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    Condizione: Nuovo

    EUR 141,27

    EUR 2,67 spedizione 
    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New.

  • Lingua: Inglese

    Editore: Intechopen, 2012

    9533077522 / 9789533077529

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    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 136,08

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes the classical smoothing, filtering and prediction techniques together with some more recently developed embellishments for improving performance within applications. It aims to present the subject in an accessible way, so that it can serve as a practical guide for undergraduates and newcomers to the field. The material is organised as a ten-lecture course. The foundations are laid in Chapters 1 and 2, which explain minimum-mean-square-error solution construction and asymptotic behaviour. Chapters 3 and 4 introduce continuous-time and discrete-time minimum-variance filtering. Generalisations for missing data, deterministic inputs, correlated noises, direct feedthrough terms, output estimation and equalisation are described. Chapter 5 simplifies the minimum-variance filtering results for steady-state problems. Observability, Riccati equation solution convergence, asymptotic stability and Wiener filter equivalence are discussed. Chapters 6 and 7 cover the subject of continuous-time and discrete-time smoothing. The main fixed-lag, fixed-point and fixed-interval smoother results are derived. It is shown that the minimum-variance fixed-interval smoother attains the best performance. Chapter 8 attends to parameter estimation. As the above-mentioned approaches all rely on knowledge of the underlying model parameters, maximum-likelihood techniques within expectation-maximisation algorithms for joint state and parameter estimation are described. Chapter 9 is concerned with robust techniques that accommodate uncertainties within problem specifications. An extra term within Riccati equations enables designers to trade-off average error and peak error performance. Chapter 10 rounds off the course by applying the afore-mentioned linear techniques to nonlinear estimation problems. It is demonstrated that step-wise linearisations can be used within predictors, filters and smoothers, albeit by forsaking optimal performance guarantees.…

  • Lingua: Inglese

    Editore: IntechOpen, 2012

    9533077522 / 9789533077529

    • Rilegato
    • Print on Demand

    Da: preigu, Osnabrück, Germaniapreigu

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 104,70

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Buch. Condizione: Neu. Smoothing, Filtering and Prediction | Estimating The Past, Present and Future | Garry Einicke | Buch | 288 S. | Englisch | 2012 | IntechOpen | EAN 9789533077529 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.…