Idioma: Inglés
Publicado por Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032067391 ISBN 13: 9783032067395
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 183,78
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. This book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and among others provides to the reader these results:The new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.The efficient lower triangular inverse matrix and the input signal covariance matrix computation method.The original bias correction approach that is used to eliminate the parameter estimation bias of an iterative autoregressive system parameter estimation algorithm in the presence of additive white noise.The discovery that nonlinear Volterra, polynomial autoregressive and bilinear systems have the same layered implementation routine, which allows us using the layered structure, the order of nonlinearity increased/decreased by adding/deleting more layers to/from the structure.The proven statement that the modular layered structures admit the very large scale integration implementation of the polynomial nonlinear filters.The book is aimed at three major groups of readers: senior undergraduate students, graduate students, and scientific research workers in electrical engineering, computer engineering, computer science, and digital control. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Springer, Springer International Publishing, 2026
ISBN 10: 3032067391 ISBN 13: 9783032067395
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 149,79
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and among others provides to the reader these results:The new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.The efficient lower triangular inverse matrix and the input signal covariance matrix computation method.The original bias correction approach that is used to eliminate the parameter estimation bias of an iterative autoregressive system parameter estimation algorithm in the presence of additive white noise.The discovery that nonlinear Volterra, polynomial autoregressive and bilinear systems have the same layered implementation routine, which allows us using the layered structure, the order of nonlinearity increased/decreased by adding/deleting more layers to/from the structure.The proven statement that the modular layered structures admit the very large scale integration implementation of the polynomial nonlinear filters.The book is aimed at three major groups of readers: senior undergraduate students, graduate students, and scientific research workers in electrical engineering, computer engineering, computer science, and digital control.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 221,81
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 165 pages. 9.25x6.10 inches. In Stock.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,26
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer, Berlin, Springer, 2026
ISBN 10: 3032067391 ISBN 13: 9783032067395
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and among others provides to the reader these results:The new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.The efficient lower triangular inverse matrix and the input signal covariance matrix computation method.The original bias correction approach that is used to eliminate the parameter estimation bias of an iterative autoregressive system parameter estimation algorithm in the presence of additive white noise.The discovery that nonlinear Volterra, polynomial autoregressive and bilinear systems have the same layered implementation routine, which allows us using the layered structure, the order of nonlinearity increased/decreased by adding/deleting more layers to/from the structure.The proven statement that the modular layered structures admit the very large scale integration implementation of the polynomial nonlinear filters.The book is aimed at three major groups of readers: senior undergraduate students, graduate students, and scientific research workers in electrical engineering, computer engineering, computer science, and digital control. 163 pp. Englisch.
Librería: preigu, Osnabrück, Alemania
EUR 132,10
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control | Rimantas Pupeikis (u. a.) | Buch | xvi | Englisch | 2026 | Springer | EAN 9783032067395 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Springer, Springer International Publishing Jan 2026, 2026
ISBN 10: 3032067391 ISBN 13: 9783032067395
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 149,79
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and among others provides to the reader these results:Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.