Lindquist anders (33 résultats)

8° Broschiert. Etat : Sehr gut. XI, 400 S. : Ill., graph. Darst. ; 24 cm Ausgetragenes Bibliotheksexemplar, mit minimalen Gebrauchsspuren DE-10-48 Sprache: Englisch Gewicht in Gramm: 405.

Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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

Hardcover. Etat : Good. Hardcover; selected papers originally presented at the 7th International Sy mposium on the Mathematical Theory of Networks and Systems, held at the Roy al Institute of Technology in Stockholm, June 10-14, 1985. Surplus library copy with the usual stampings; reference number taped to spine; fading and shelf wear to exterior; in good condition with clean text, firm binding.…

hardcover. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Etat : Used. pp. 418.

Hardcover. Etat : Very Good. 1st Edition. Text in English. 207 pp. This Water Handbook describes the methods and processes of water treatment that allow water to be returned to its natural ecological cycle and permit a sustainable society.

Etat : New. In English.

Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Kartoniert / Broschiert. Etat : New. Edited book collecting a wide range of research topics in control theory and applicationsVarious applications in the areas of algebraic geometry in poleplacement problems, observer theory, nonlinear control, output regulation, quantum control, .

Paperback. Etat : Brand New. 1st edition. 400 pages. 9.25x6.50x1.25 inches. In Stock.

Etat : New.

Etat : New.

Etat : New. In English.

Etat : New. In English.

Taschenbuch. Etat : Neu. Linear Stochastic Systems | A Geometric Approach to Modeling, Estimation and Identification | Anders Lindquist (u. a.) | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9783662526187 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Etat : New. pp. 781.

Taschenbuch. 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.…

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.…

Etat : New. 708.

Hardcover. Etat : Brand New. 2015 edition. 720 pages. French language. 9.25x6.25x1.75 inches. In Stock.

Paperback. Etat : Brand New. reprint edition. 800 pages. 9.25x6.10x1.81 inches. In Stock.

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Etat : new. Questo è un articolo print on demand.

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.…

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.…

Etat : new. Questo è un articolo print on demand.

Etat : New. Print on Demand pp. 781.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 800 pp. Englisch. …

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 800 pp. Englisch.…