Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is “one of the best mathematical practices to analyse the variants in the states of the system or process” and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is “one of the best mathematical practices to analyse the variants in the states of the system or process” and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications.
Dr.Leela Kumari Balivada received B.Tech from JNTUH in E.C.E, M.Tech from A.U. in R&M and Ph.D from JNTUK,in Communications. She is Assistant Professor of E.C.E department, UCEK, JNTUK, Kakinada. Her research interests include Communications, Signal Processing and Nonlinear state space estimation.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerAnbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balivada Leela KumariDr.Leela Kumari Balivada received B.Tech from JNTUH in E.C.E, M.Tech from A.U. in R&M and Ph.D from JNTUK,in Communications. She is Assistant Professor of E.C.E department, UCEK, JNTUK, Kakinada. Her research in. Bestandsnummer des Verkäufers 158430964
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is 'one of the best mathematical practices to analyse the variants in the states of the system or process' and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications. Bestandsnummer des Verkäufers 9783659953262
Anzahl: 1 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is ¿one of the best mathematical practices to analyse the variants in the states of the system or process¿ and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Bestandsnummer des Verkäufers 9783659953262
Anzahl: 1 verfügbar
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Estimation Theory has been a fundamental tool in the fields like communications; Signal processing, Ocean and Space research and Biomedical Engineering etc. Many problems in Science and Engineering require estimation of the states of system that change over time, using a sequence of noisy measurements made on that system. For example, estimating the states of an arbitrary satellite, estimating the target motion parameters in the ocean environment and so on. State estimation theory is 'one of the best mathematical practices to analyse the variants in the states of the system or process' and this approach is used to generate the optimal estimate of the true state of the system. The state estimation processes may be Linear or Nonlinear based on the dynamics of the system and observation models. In this book, the performance is analysed and compared for various nonlinear state space estimation models using decision based filters (Single model filters) for tracking applications. 132 pp. Englisch. Bestandsnummer des Verkäufers 9783659953262
Anzahl: 2 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18394691641
Anzahl: 4 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26394691635
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 401685484
Anzahl: 4 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock. Bestandsnummer des Verkäufers 3659953261
Anzahl: 1 verfügbar