Download Full eBooks in PDF
Introduction To Random Signals Estimation Theory And Kalman Filtering Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Introduction To Random Signals Estimation Theory And Kalman Filtering book. This book definitely worth reading, it is an incredibly well-written.
Author : M. Sami Fadali
Publisher : Springer Nature
Page : 489 pages
File Size : 48,8 Mb
Release : 2024-06-03
Category : Electronic
ISBN : 9789819980635
Author : Nirode Mohanty
Publisher : Springer Science & Business Media
Page : 636 pages
File Size : 53,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401170413
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,Patrick Y. C. Hwang
Publisher : Wiley-Liss
Page : 504 pages
File Size : 45,7 Mb
Release : 1997
Category : Computers
ISBN : UOM:39015040683321
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 : Robert Grover Brown,Patrick Y. C. Hwang
Publisher : Unknown
Page : 522 pages
File Size : 47,9 Mb
Release : 1992
Category : Mathematics
ISBN : UOM:39015047330314
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
Page : 346 pages
File Size : 44,7 Mb
Release : 1983
Category : Mathematics
ISBN : UOM:39015003731760
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 : Robert Grover Brown,Patrick Y. C. Hwang
Publisher : John Wiley & Sons
Page : 0 pages
File Size : 48,5 Mb
Release : 2012-02-07
Category : Technology & Engineering
ISBN : 0470609699
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 : Brown
Publisher : Unknown
Page : 153 pages
File Size : 46,8 Mb
Release : 1996-12-01
Category : Electronic
ISBN : 0471173630
Author : Branko Kovačević,Željko Đurović
Publisher : Unknown
Page : 432 pages
File Size : 45,9 Mb
Release : 2008
Category : Estimation theory
ISBN : 8674663230
Author : K. Sam Shanmugan,Arthur M. Breipohl
Publisher : John Wiley & Sons
Page : 686 pages
File Size : 40,6 Mb
Release : 1988-05-20
Category : Mathematics
ISBN : UOM:39015036320037
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 : Harold Wayne Sorenson
Publisher : Unknown
Page : 472 pages
File Size : 50,7 Mb
Release : 1985
Category : Technology & Engineering
ISBN : STANFORD:36105030629815
Author : Dwight F. Mix
Publisher : Unknown
Page : 450 pages
File Size : 48,5 Mb
Release : 1995
Category : Signal processing
ISBN : 0131801910
Author : Harry L. Van Trees,Kristine L. Bell
Publisher : John Wiley & Sons
Page : 1188 pages
File Size : 54,9 Mb
Release : 2013-04-15
Category : Technology & Engineering
ISBN : 9780470542965
Originally published in 1968, Harry Van Trees’s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago. The second edition is a thorough revision and expansion almost doubling the size of the first edition and accounting for the new developments thus making it again the most comprehensive and up-to-date treatment of the subject. With a wide range of applications such as radar, sonar, communications, seismology, biomedical engineering, and radar astronomy, among others, the important field of detection and estimation has rarely been given such expert treatment as it is here. Each chapter includes section summaries, realistic examples, and a large number of challenging problems that provide excellent study material. This volume which is Part I of a set of four volumes is the most important and widely used textbook and professional reference in the field.
Author : Averil Burton Chatfield
Publisher : AIAA
Page : 368 pages
File Size : 53,8 Mb
Release : 1997
Category : Inertial navigation systems
ISBN : 1600864279
Author : A. V. Balakrishnan
Publisher : Unknown
Page : 240 pages
File Size : 47,7 Mb
Release : 1984
Category : Technology & Engineering
ISBN : UOM:39015006417102
Author : Lonnie C. Ludeman
Publisher : Unknown
Page : 628 pages
File Size : 45,9 Mb
Release : 2010-07-01
Category : Electronic
ISBN : 8126527234
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.