Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises And Solutions
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Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises And Solutions
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Author : Robert Grover Brown
language : en
Publisher: Wiley-Liss
Release Date : 1997
Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises And Solutions written by Robert Grover Brown and has been published by Wiley-Liss this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of linear systems to random inputs. The following chapter is devoted to Wiener filtering and the remainder of the text deals with various facets of Kalman filtering with emphasis on applications. Starred problems at the end of each chapter are computer exercises. The authors believe that programming the equations and analyzing the results of specific examples is the best way to obtain the insight that is essential in engineering work.
Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises And Solutions
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Author : Brown
language : en
Publisher:
Release Date : 1996-12-01
Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises And Solutions written by Brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-12-01 with categories.
Kalman Filtering
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Author : Mohinder S. Grewal
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Kalman Filtering written by Mohinder S. Grewal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Technology & Engineering categories.
This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department -- to obtain the manual, send an email to [email protected].
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Author :
language : fr
Publisher:
Release Date : 2006
written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Introduction To Random Signals And Applied Kalman Filtering
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Author : Robert Grover Brown
language : en
Publisher:
Release Date : 1992
Introduction To Random Signals And Applied Kalman Filtering written by Robert Grover Brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.
Focuses on applied Kalman filtering and its random signal analysis. Important to all control system and communication engineers, it emphasizes applications, computer software and associated sets of special computer problems to aid in tying together both theory and practice. Along with actual case studies, a diskette is included to enable readers to actually see how Kalman filtering works.
Engineering Applications Of Matlab 5 3 And Simulink 3
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Author : Mohand Mokhtari
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Engineering Applications Of Matlab 5 3 And Simulink 3 written by Mohand Mokhtari and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
In recent years MATLAB®, together with SIMULINK® and the many associated toolboxes, has became a standard in the fields of engineering, simulation and numerical calculation. A veritable programming environment in themselves, MATLAB® and SIMULINK® bring unequalled possibilities of resolution and simulation in the fields of numerical calculation and the study of dynamic systems to students and professionals alike. These features are enhanced by excellent graphic visualisation in 2D and 3D. The originality of this book is to intelligently marry theory and practice. The theory is exposed in the first half of the work, the second part of the work being devoted to the study of real applications of control process and signal processing. This approach allows the reader, at any stage, to see the importance of the theory worked out in practical examples and follow the examples with their theoretical structure presented in a clear and concise way. The presentation of these applications begins with an initial mathematical study of the physical processes leading to the discrete modelling stage. In each of these case studies, the authors demonstrate the power of MA TLAB® and SIMULINK® tools as well as the power of the toolboxes dedicated to the control of processes, fuzzy logic, neuronal networks and signal processing. This enlightening approach gives the reader (novice or specialist) a clear and thorough understanding of these tools.
Dynamics Of Information Systems
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Author : Michael Hirsch
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-04-11
Dynamics Of Information Systems written by Michael Hirsch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-11 with Mathematics categories.
"Dynamics of Information Systems" presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research. This volume is intended for graduate students and researchers interested in the most recent developments in information theory and dynamical systems, as well as scientists in other fields interested in the application of these principles to their own area of study.
Discrete Inverse And State Estimation Problems
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Author : Carl Wunsch
language : en
Publisher: Cambridge University Press
Release Date : 2006-06-29
Discrete Inverse And State Estimation Problems written by Carl Wunsch and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-29 with Science categories.
Addressing the problems of making inferences from noisy observations and imperfect theories, this 2006 book introduces many inference tools and practical applications. Starting with fundamental algebraic and statistical ideas, it is ideal for graduate students and researchers in oceanography, climate science, and geophysical fluid dynamics.
Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises
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Author : Robert Grover Brown
language : en
Publisher: John Wiley & Sons
Release Date : 2012-02-07
Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises written by Robert Grover Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-07 with Technology & Engineering categories.
Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems. Brown and Hwang's bestselling textbook introduces the theory and applications of Kalman filters for senior undergraduates and graduate students. This revision updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. The book emphasizes the application of computational software tools such as MATLAB. The companion website includes M-files to assist students in applying MATLAB to solving end-of-chapter homework problems.
Nonlinear Estimation
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Author : Shovan Bhaumik
language : en
Publisher: CRC Press
Release Date : 2019-07-24
Nonlinear Estimation written by Shovan Bhaumik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Mathematics categories.
Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses on a comprehensive treatment of deterministic sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution is available in general. Gaussian filters are becoming popular with the designers due to their ease of implementation and real time execution even on inexpensive or legacy hardware. The main purpose of the book is to educate the reader about a variety of available nonlinear estimation methods so that the reader can choose the right method for a real life problem, adapt or modify it where necessary and implement it. The book can also serve as a core graduate text for a course on state estimation. The book starts from the basic conceptual solution of a nonlinear estimation problem and provides an in depth coverage of (i) various Gaussian filters such as the unscented Kalman filter, cubature and quadrature based filters, Gauss-Hermite filter and their variants and (ii) Gaussian sum filter, in both discrete and continuous-discrete domain. Further, a brief description of filters for randomly delayed measurement and two case-studies are also included. Features: The book covers all the important Gaussian filters, including filters with randomly delayed measurements. Numerical simulation examples with detailed matlab code are provided for most algorithms so that beginners can verify their understanding. Two real world case studies are included: (i) underwater passive target tracking, (ii) ballistic target tracking. The style of writing is suitable for engineers and scientists. The material of the book is presented with the emphasis on key ideas, underlying assumptions, algorithms, and properties. The book combines rigorous mathematical treatment with matlab code, algorithm listings, flow charts and detailed case studies to deepen understanding.