Introduction to Random Signals and Applied Kalman Filtering with MATLAB Exercises
Introduction to Random Signals and Applied Kalman Filtering with MATLAB Exercises
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Summary
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.
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Introduction to Random Signals and Applied Kalman Filtering with MATLAB Exercises by Robert Grover Brown
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.| SKU | Unavailable |
| ISBN 13 | 9780471128397 |
| ISBN 10 | 0471128392 |
| Title | Introduction to Random Signals and Applied Kalman Filtering with MATLAB Exercises |
| Author | Robert Grover Brown |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | John Wiley and Sons Ltd |
| Year published | 1996-11-28 |
| Number of pages | 496 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |