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Kalman Filtering: Theory and Practice Using MATLAB, 3rd Edition, Grewal


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Автор: Grewal
Название:  Kalman Filtering: Theory and Practice Using MATLAB, 3rd Edition
Перевод названия: Грюэл: Фильтры Кальмана. Теория и практика использования MatLab
ISBN: 9780470173664
Издательство: Wiley
Классификация:
ISBN-10: 0470173661
Обложка/Формат: Hardback
Страницы: 576
Вес: 0.95 кг.
Дата издания: 20.10.2008
Серия: Circuit Theory & Design
Язык: English
Издание: 3 rev ed
Иллюстрации: Illustrations
Размер: 23.62 x 15.75 x 3.05 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Theory and practice using matlab
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Organized for use as a text for an introductory course in stochastic processes at the senior level and as a first-year, graduate-level course in Kalman filtering theory and applications, this book includes real-world problems in practice as illustrative examples, and also covers the more practical aspects of implementation. The author Grewal teaches at Cal State Fullerton and also offers seminars and tutorials on Kalman Filters. Dr. Grewal has contributed the Article on Kalman Filters for the Webster Encyclopedia. 


      Новое издание
Kalman Filtering: Theory and Practice with MATLAB

Автор: Mohinder S. Grewal,Angus P. Andrews
Название: Kalman Filtering: Theory and Practice with MATLAB
ISBN: 1118851218 ISBN-13(EAN): 9781118851210
Издательство: Wiley
Цена: 18050.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: The definitive textbook and professional reference on Kalman Filtering fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering.


Kalman Filtering: Theory and Practice with MATLAB

Автор: Mohinder S. Grewal,Angus P. Andrews
Название: Kalman Filtering: Theory and Practice with MATLAB
ISBN: 1118851218 ISBN-13(EAN): 9781118851210
Издательство: Wiley
Рейтинг:
Цена: 18050.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The definitive textbook and professional reference on Kalman Filtering fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering.

Subband Adaptive Filtering - Theory and Implementation

Автор: Kong Aik Lee
Название: Subband Adaptive Filtering - Theory and Implementation
ISBN: 0470516941 ISBN-13(EAN): 9780470516942
Издательство: Wiley
Рейтинг:
Цена: 17733.00 р.
Наличие на складе: Поставка под заказ.

Описание: Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques.

Adaptive Filtering

Автор: Diniz
Название: Adaptive Filtering
ISBN: 1461441056 ISBN-13(EAN): 9781461441052
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In its 4th edition, this book reviews basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, covering the main classes of adaptive filtering algorithms and using clear notation to facilitate implementation.

Control and Filtering for Semi-Markovian Jump Systems

Автор: Fanbiao Li; Peng Shi; Ligang Wu
Название: Control and Filtering for Semi-Markovian Jump Systems
ISBN: 3319471988 ISBN-13(EAN): 9783319471983
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.


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