stochastic systems modeling identification (9 Ergebnisse)

Broschiert. Zustand: Gut. 243 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 430.

Broschiert. Zustand: Gut. 263 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann entsprechende Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.). Aufgrund des Alters und der häufigen Nutzung können Stabilität, Einband sowie Papierqualität beeinträchtigt sein. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 495.

Paperback. Zustand: Good. 263p blue paperback, this copy discarded from the library of the Manchester Institute of Science & Technology, library stamps, old fashioned loan pocket to back cover, front endpaper missing, some traces of use, still a good copy Language: English.

Paperback. Zustand: Good. 243p blue paperback, this copy discarded from the library of the Manchester Institute of Science & Technology, library stamps, old fashioned loan pocket to back cover, front endpaper missing, some traces of use, still a good copy Language: English.

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

Taschenbuch. Zustand: 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. Zustand: 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.

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

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