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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions by Patrick Y. C. Hwang and Robert Grover Brown (1996, Trade Paperback)
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INTRODUCTION TO RANDOM SIGNALS AND APPLIED KALMAN By Robert Grover Brown VG. Awesome condition- diskette included
- Buy it nowINTRODUCTION TO RANDOM SIGNALS AND APPLIED KALMAN By Robert Grover Brown 3rd Ed
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471128392
ISBN-139780471128397
eBay Product ID (ePID)964968
Product Key Features
Number of Pages496 Pages
Publication NameIntroduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions
LanguageEnglish
Publication Year1996
SubjectSignals & Signal Processing, Mathematical & Statistical Software, Probability & Statistics / Stochastic Processes, Electrical
FeaturesRevised
TypeTextbook
Subject AreaMathematics, Computers, Technology & Engineering
AuthorPatrick Y. C. Hwang, Robert Grover Brown
FormatTrade Paperback
Dimensions
Item Height1.1 in
Item Weight36.5 Oz
Item Length10.3 in
Item Width7.2 in
Additional Product Features
Edition Number3
Intended AudienceCollege Audience
LCCN96-025880
Dewey Edition20
IllustratedYes
Dewey Decimal621.382/2
Edition DescriptionRevised edition
Table Of ContentProbability and Random Variables: A Review. Mathematical Description of Random Signals. Response of Linear Systems to Random Inputs. Wiener Filtering. The Discrete Kalman Filter, State-Space Modeling, and Simulation. Prediction, Applications, and More Basics on Discrete Kalman Filtering. The Continuous Kalman Filter. Smoothing. Linearization and Additional Intermediate-Level Topics on Applied Kalman Filtering. More on Modeling: Integration of Noninertial Measurements Into INS. The Global Positioning System: A Case Study. Appendices. Index.
SynopsisA study of random signals and optimal filtering-filtering noise that corrupts the desired signal, without requiring sophisticated mathematical skills. This edition is MATLAB oriented, but due to its strong general coverage, it is also applicable to other software programs, including the Kalm 'N Smooth software developed for the last edition. It should be of interest to students and lecturers of engineering. A solutions manual will be available to lecturers., This book spotlights applied Kalman filtering and provides the necessary introductory material on random signal analysis. It presents a clear and precise study of random signals and optimal filtering-filtering noise that corrupts the desired signal, without requiring sophisticated math skills., 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.
LC Classification NumberTK5102.9.B75 1997
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- 25 Oct, 2017
good contents
from basic to higher levelVerified purchase: YesCondition: Pre-owned
