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Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions

Author: Robert Grover Brown; Patrick Y C Hwang
Publisher: New York : Wiley, ©1997.
Edition/Format:   Print book : 3.5 in. disc : Document   Computer File : English : 3rd edView all editions and formats
Summary:
This text provides a clear and precise study of random signals and optimal filtering-filtering noise that corrupts the desired signal, without requiring sophisticated mathematical skills.
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Additional Physical Format: Online version:
Brown, Robert Grover.
Introduction to random signals and applied Kalman filtering.
New York : Wiley, ©1997
(OCoLC)606138246
Material Type: Document, Internet resource
Document Type: Book, Computer File, Internet Resource
All Authors / Contributors: Robert Grover Brown; Patrick Y C Hwang
ISBN: 0471128392 9780471128397
OCLC Number: 34839808
Notes: Includes index.
Description: xi, 484 pages : illustrations ; 26 cm + 1 computer disc (3 1/2 in.)
Details: System requirements: IBM compatible PC.
Contents: 1. Probability and Random Variables: A Review --
2. Mathematical Description of Random Signals --
3. Response of Linear Systems to Random Inputs --
4. Wiener Filtering --
5. The Discrete Kalman Filter, State-Space Modeling, and Simulation --
6. Prediction, Applications, and More Basics on Discrete Kalman Filtering --
7. The Continuous Kalman Filter --
8. Smoothing --
9. Linearization and Additional Intermediate-Level Topics on Applied Kalman Filtering --
10. More on Modeling: Integration of Noninertial Measurements Into INS --
11. The Global Positioning System: A Case Study --
Appendix A. Laplace and Fourier Transforms --
Appendix B. Typical Navigation Satellite Geometry --
Appendix C. Kalman Filter Software.
Responsibility: Robert Grover Brown, Patrick Y.C. Hwang.
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Abstract:

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  Read more...

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