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Author : M. Sami Fadali
Publisher : Springer Nature
ISBN 13 : 9819980631
Total Pages : 489 pages
Book Rating : 4.8/5 (199 download)
Download or read book Introduction to Random Signals, Estimation Theory, and Kalman Filtering written by M. Sami Fadali and published by Springer Nature. This book was released on with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert Grover Brown
Publisher : Wiley-Liss
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions written by Robert Grover Brown and published by Wiley-Liss. This book was released on 1997 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Nirode Mohanty
Publisher : Springer Science & Business Media
ISBN 13 : 940117041X
Total Pages : 636 pages
Book Rating : 4.4/5 (11 download)
Download or read book Random Signals Estimation and Identification written by Nirode Mohanty and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: The techniques used for the extraction of information from received or ob served signals are applicable in many diverse areas such as radar, sonar, communications, geophysics, remote sensing, acoustics, meteorology, med ical imaging systems, and electronics warfare. The received signal is usually disturbed by thermal, electrical, atmospheric, channel, or intentional inter ferences. The received signal cannot be predicted deterministically, so that statistical methods are needed to describe the signal. In general, therefore, any received signal is analyzed as a random signal or process. The purpose of this book is to provide an elementary introduction to random signal analysis, estimation, filtering, and identification. The emphasis of the book is on the computational aspects as well as presentation of com mon analytical tools for systems involving random signals. The book covers random processes, stationary signals, spectral analysis, estimation, optimiz ation, detection, spectrum estimation, prediction, filtering, and identification. The book is addressed to practicing engineers and scientists. It can be used as a text for courses in the areas of random processes, estimation theory, and system identification by undergraduates and graduate students in engineer ing and science with some background in probability and linear algebra. Part of the book has been used by the author while teaching at State University of New York at Buffalo and California State University at Long Beach. Some of the algorithms presented in this book have been successfully applied to industrial projects.
Author : Robert Grover Brown
Publisher :
ISBN 13 :
Total Pages : 522 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Random Signals and Applied Kalman Filtering written by Robert Grover Brown and published by . This book was released on 1992 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Robert Grover Brown
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Random Signal Analysis and Kalman Filtering written by Robert Grover Brown and published by John Wiley & Sons. This book was released on 1983 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.
Author : Brown
Publisher :
ISBN 13 : 9780471173632
Total Pages : 153 pages
Book Rating : 4.1/5 (736 download)
Download or read book Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions written by Brown and published by . This book was released on 1996-12-01 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert Grover Brown
Publisher : John Wiley & Sons
ISBN 13 : 9780470609699
Total Pages : 0 pages
Book Rating : 4.6/5 (96 download)
Download or read book Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises written by Robert Grover Brown and published by John Wiley & Sons. This book was released on 2012-02-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Branko Kovačević
Publisher :
ISBN 13 : 9788674663233
Total Pages : 432 pages
Book Rating : 4.6/5 (632 download)
Download or read book Fundamentals of Stochastic Signals, Systems and Estimation Theory with Worked Examples written by Branko Kovačević and published by . This book was released on 2008 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Harold Wayne Sorenson
Publisher :
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.F/5 ( download)
Download or read book Kalman Filtering written by Harold Wayne Sorenson and published by . This book was released on 1985 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : H. Vincent Poor
Publisher : Springer Science & Business Media
ISBN 13 : 1475738633
Total Pages : 558 pages
Book Rating : 4.4/5 (757 download)
Download or read book An Introduction to Signal Detection and Estimation written by H. Vincent Poor and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.
Author : Dwight F. Mix
Publisher :
ISBN 13 : 9780131801912
Total Pages : 450 pages
Book Rating : 4.8/5 (19 download)
Download or read book Random Signal Processing written by Dwight F. Mix and published by . This book was released on 1995 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mohinder S. Grewal
Publisher : John Wiley & Sons
ISBN 13 : 111898496X
Total Pages : 639 pages
Book Rating : 4.1/5 (189 download)
Download or read book Kalman Filtering written by Mohinder S. Grewal and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
Author : K. Sam Shanmugan
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 686 pages
Book Rating : 4.3/5 (91 download)
Download or read book Random Signals written by K. Sam Shanmugan and published by John Wiley & Sons. This book was released on 1988-05-20 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation.
Author : Lonnie C. Ludeman
Publisher :
ISBN 13 : 9788126527236
Total Pages : 628 pages
Book Rating : 4.5/5 (272 download)
Download or read book RANDOM PROCESSES: FILTERING, ESTIMATION AND DETECTION written by Lonnie C. Ludeman and published by . This book was released on 2010-07-01 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: Graduate students of electrical and computer engineering. Practicing engineers in communications and signal processing. Special Features: " Covers modern detection and estimation theory as well as the basics of random processes" Emphasizes the use of discrete-time Weiner and Kalman filters and covers nonlinear systems in detail" Includes over 380 class-tested homework exercises About The Book: An understanding of random processes is crucial in the study of many engineering systems, for example analyzing noise in a wireless communications channel. This book covers the basics of probability and random processes for an engineering audience. Importantly, though, the book also presents the details of modern detection and estimation theory, giving it a real edge over existing textbooks. The author has a proven track record. His book Fundamentals of Digital Signal Processing has sold 15,000 copies and won Choice magazine's Outstanding Engineering Book of the Year award.
Author : Edward W. Kamen
Publisher : Springer
ISBN 13 : 9781447104186
Total Pages : 380 pages
Book Rating : 4.1/5 (41 download)
Download or read book Introduction to Optimal Estimation written by Edward W. Kamen and published by Springer. This book was released on 2011-10-06 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: A handy technical introduction to the latest theories and techniques of optimal estimation. It provides readers with extensive coverage of Wiener and Kalman filtering along with a development of least squares estimation, maximum likelihood and maximum a posteriori estimation based on discrete-time measurements. Much emphasis is placed on how they interrelate and fit together to form a systematic development of optimal estimation. Examples and exercises refer to MATLAB software.
Author : A. V. Balakrishnan
Publisher :
ISBN 13 :
Total Pages : 282 pages
Book Rating : 4.:/5 (321 download)
Download or read book Kalman Filtering Theory written by A. V. Balakrishnan and published by . This book was released on 1987 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Averil Burton Chatfield
Publisher : AIAA
ISBN 13 : 9781600864278
Total Pages : 368 pages
Book Rating : 4.8/5 (642 download)
Download or read book Fundamentals of High Accuracy Inertial Navigation written by Averil Burton Chatfield and published by AIAA. This book was released on 1997 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
