Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification - Couverture rigide
Livre 1 sur 4: Series in Contemporary Mathematics
Synopsis
This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied, fostered by the advent of modern digital computers, since the fundamental work of R.E. Kalman in the early 1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notionof the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribution that will inform the fields of stochastic modeling, estimation, system identification, and time series analysis for decades to come. It also provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory.
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Linear Stochastic Systems
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Springer Berlin Heidelberg, 2015
ISBN 10 : 3662457490
ISBN 13 : 9783662457498
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Maximizes reader insights into stochastic modeling, estimation, system identification, and time series analysisReveals the concepts of stochastic state space and state space modeling to unify the ideaSupports further exploration through a u. N° de réf. du vendeur 28873022
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Linear Stochastic Systems
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Springer Berlin Heidelberg Mai 2015, 2015
ISBN 10 : 3662457490
ISBN 13 : 9783662457498
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied,fostered by the advent of modern digital computers, sincethe fundamental work of R.E. Kalman in the early1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notion of the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribution that will inform the fields of stochastic modeling, estimation, system identification, and time series analysis for decades to come. It also provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory. 800 pp. Englisch. N° de réf. du vendeur 9783662457498
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Linear Stochastic Systems | A Geometric Approach to Modeling, Estimation and Identification
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Springer-Verlag GmbH, 2015
ISBN 10 : 3662457490
ISBN 13 : 9783662457498
Neuf
Couverture rigide
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Buch. Etat : Neu. Linear Stochastic Systems | A Geometric Approach to Modeling, Estimation and Identification | Giorgio Picci (u. a.) | Buch | xv | Englisch | 2015 | Springer-Verlag GmbH | EAN 9783662457498 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 105002348
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Linear Stochastic Systems : A Geometric Approach to Modeling, Estimation and Identification
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Springer Vieweg, 2015
ISBN 10 : 3662457490
ISBN 13 : 9783662457498
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 800 | Sprache: Englisch | Produktart: Bücher | This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied, fostered by the advent of modern digital computers, since the fundamental work of R.E. Kalman in the early 1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notionof the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribution that will inform the fields of stochastic modeling, estimation, system identification, and time series analysis for decades to come. It also provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory. N° de réf. du vendeur 25187144/1
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Linear Stochastic Systems
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Mai 2015, 2015
ISBN 10 : 3662457490
ISBN 13 : 9783662457498
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied, fostered by the advent of modern digital computers, since the fundamental work of R.E. Kalman in the early 1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notionof the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribution that will inform the fields of stochastic modeling, estimation, system identification, and time series analysis for decades to come. It also provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 800 pp. Englisch. N° de réf. du vendeur 9783662457498
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Linear Stochastic Systems : A Geometric Approach to Modeling, Estimation and Identification
Edité par
Springer Berlin Heidelberg, 2015
ISBN 10 : 3662457490
ISBN 13 : 9783662457498
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied,fostered by the advent of modern digital computers, sincethe fundamental work of R.E. Kalman in the early1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notionof the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribution that will inform the fields of stochastic modeling, estimation, system identification, and time series analysis for decades to come. It also provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory. N° de réf. du vendeur 9783662457498
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Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification
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Hardcover. Etat : Brand New. 2015 edition. 720 pages. French language. 9.25x6.25x1.75 inches. In Stock. N° de réf. du vendeur x-3662457490
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