Kalman Filtering: With Real-Time Applications, Chui Charles K., Chen Guanrong
Автор: Chui, Charles K. Chen, Guanrong Название: Kalman filtering ISBN: 3319476106 ISBN-13(EAN): 9783319476100 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals.
Автор: C.S. Burrus; R.S. Bucy; B.G. Williams Название: Lectures on Discrete Time Filtering ISBN: 1461383943 ISBN-13(EAN): 9781461383949 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This sep- aration is of more than academic interest as the least squares problem leads to the normal equations, which are numerically ill conditioned, while the process estimation problem in the linear case with appropriate assumptions leads to uniformly asymptotically stable equations for the estimator and the gain.
Автор: Cristian Lai; Alessandro Giuliani; Giovanni Semera Название: Emerging Ideas on Information Filtering and Retrieval ISBN: 331968390X ISBN-13(EAN): 9783319683904 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses new challenges and emerging ideas in Distributed Information Filtering and Retrieval. It gathers extended papers presented at DART 2013 (the 7th International Workshop on Information Filtering and Retrieval), held on December 6, 2013 in Turin, Italy, and co-hosted with the XIII International Conference of the Italian Association for Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The papers presented here offer a comprehensive review of related work and state-of-the-art techniques. The authors - a mix of respected practitioners and researchers - share their findings on a range of topics, including data leak protection on text comparison, natural language processing, ambient intelligence, information retrieval and web portals, and knowledge management. All contributions were carefully reviewed by experts in the respective area, who also provided useful suggestions to improve the book's overall quality.
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: 120330.00 T 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.
Автор: Cristian Lai; Alessandro Giuliani; Giovanni Semera Название: Distributed Systems and Applications of Information Filtering and Retrieval ISBN: 3642406203 ISBN-13(EAN): 9783642406201 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains papers from DART 2012, the 6th International Workshop on Information Filtering and Retrieval. Coverage includes multi-agent systems, natural language processing, automatic advertisement, customer interaction analytics, and opinion mining.
Автор: Zia Ur Rahman Название: Adaptive Filtering: Principles, Concepts and Applications ISBN: 1536147834 ISBN-13(EAN): 9781536147834 Издательство: Nova Science Рейтинг: Цена: 149940.00 T Наличие на складе: Невозможна поставка. Описание: This book titled Adaptive Filtering: Principles, Concepts and Applications covers principles, concepts and applications of adaptive filtering. The development of adaptive filtering started in 1976 and widely developed over different application areas. It is certainly not our ambition to cover everything of adaptive filtering principles and applications. Rather, this edited book features the latest methodological, technical and practical progress on promoting the successful use of adaptive filtering principles and applications, which are more useful in the current day scenario. The book contains ten chapters contributed by the experts in the area of adaptive filtering throughout the world. The various applications addressed are MIMO receivers, adaptive exon prediction for DNA analysis, beam steering for smart antennas for mobile applications, telecardiology systems, physiological signal analysis, brain computer interface applications, speech signal conditioning, filtering thoracic electrical bio-impedance, and inter symbol interference cancellation in wireless communication systems. The intended audience of this book will mainly consist of researchers, research students and practitioners in adaptive filtering and applications. The book is also of interest to researchers and industrial practitioners in areas such as algorithm developers, biomedical engineering, biomedical instrumentation, VLSI circuits design, and embedded systems. This edited book will present research outcomes on theoretical and technical issues related to real time applications.
Автор: Paulo S. R. Diniz Название: Adaptive Filtering ISBN: 3030290565 ISBN-13(EAN): 9783030290566 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Невозможна поставка. Описание: The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more.
Автор: Charles K. Chui; Guanrong Chen Название: Kalman Filtering ISBN: 3642099661 ISBN-13(EAN): 9783642099663 Издательство: Springer Рейтинг: Цена: 56580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method and an indirect method.
Автор: Hongbin Ma; Liping Yan; Yuanqing Xia; Mengyin Fu Название: Kalman Filtering and Information Fusion ISBN: 9811508054 ISBN-13(EAN): 9789811508059 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques.
Overall, the book’s goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.
To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus.
Автор: Tine Lefebvre; Herman Bruyninckx; Joris de Schutte Название: Nonlinear Kalman Filtering for Force-Controlled Robot Tasks ISBN: 3642066291 ISBN-13(EAN): 9783642066290 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy.
Автор: Ma Hongbin, Yan Liping, Xia Yuanqing Название: Kalman Filtering and Information Fusion ISBN: 9811508089 ISBN-13(EAN): 9789811508080 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Preface.- Part I Kalman Filtering: Preliminaries.- Part II Kalman Filtering for Uncertain Systems.- Part III Kalman Filtering for Multi-Sensor Systems.- Part IV Kalman Filtering for Multi-Agent Systems.
Автор: Narayan Kovvali, Mahesh Banavar, Andreas Spanias Название: An Introduction to Kalman Filtering with MATLAB Examples ISBN: 1627051392 ISBN-13(EAN): 9781627051392 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Невозможна поставка. Описание: The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications. This book presents a brief introduction to Kalman filtering.
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