9783031974083 - Fundamentals of Stochastic Signals, Systems and Estimation Theory: With Worked Examples de Kova¿evi¿, Branko; ¿Urovi¿, ¿Eljko; Banjac, Zoran (16 resultados)

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:new chapters related to the use of nonlinear filtering as an alternative to extended and linearized Kalman filtering andnovel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers.Many examples are used to illustrate key concepts in an intuitive fashion and readers are shown how to write software implementations of estimators. Experiments and simulations are performed using MATLAB® to help readers to understand the main theoretical concepts.The book will help professionals and students studying high-order dynamic systems with random inputs. It will be of use to readers working with or studying problems in wireless communications, networking, electronics, photonics, power systems, robotics and mechatronics.

Condición: New.

Hardcover. Condición: Brand New. 3rd edition. 560 pages. 9.25x6.10x9.21 inches. In Stock.

Hardcover. Condición: new. Hardcover. Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:new chapters related to the use of nonlinear filtering as an alternative to extended and linearized Kalman filtering andnovel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers.Many examples are used to illustrate key concepts in an intuitive fashion and readers are shown how to write software implementations of estimators. Experiments and simulations are performed using MATLAB to help readers to understand the main theoretical concepts.The book will help professionals and students studying high-order dynamic systems with random inputs. It will be of use to readers working with or studying problems in wireless communications, networking, electronics, photonics, power systems, robotics and mechatronics. mso-fareast-language: EN-US;">novel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:new chapters related to the use of nonlinear filtering as an alternative to extended and linearized Kalman filtering andnovel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers.Many examples are used to illustrate key concepts in an intuitive fashion and readers are shown how to write software implementations of estimators. Experiments and simulations are performed using MATLAB® to help readers to understand the main theoretical concepts.The book will help professionals and students studying high-order dynamic systems with random inputs. It will be of use to readers working with or studying problems in wireless communications, networking, electronics, photonics, power systems, robotics and mechatronics. 701 pp. Englisch.

Hardcover. Condición: new. Hardcover. Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:new chapters related to the use of nonlinear filtering as an alternative to extended and linearized Kalman filtering andnovel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers.Many examples are used to illustrate key concepts in an intuitive fashion and readers are shown how to write software implementations of estimators. Experiments and simulations are performed using MATLAB to help readers to understand the main theoretical concepts.The book will help professionals and students studying high-order dynamic systems with random inputs. It will be of use to readers working with or studying problems in wireless communications, networking, electronics, photonics, power systems, robotics and mechatronics. mso-fareast-language: EN-US;">novel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Hardcover. Condición: new. Hardcover. Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:new chapters related to the use of nonlinear filtering as an alternative to extended and linearized Kalman filtering andnovel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers.Many examples are used to illustrate key concepts in an intuitive fashion and readers are shown how to write software implementations of estimators. Experiments and simulations are performed using MATLAB to help readers to understand the main theoretical concepts.The book will help professionals and students studying high-order dynamic systems with random inputs. It will be of use to readers working with or studying problems in wireless communications, networking, electronics, photonics, power systems, robotics and mechatronics. mso-fareast-language: EN-US;">novel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 720 pp. Englisch.

Condición: New. PRINT ON DEMAND.