Product Description: This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results.
Not enough examples... This book is difficult to understand due to the lack of simple examples to illustrate keep points as they are introduced.
There are a few examples in each chapter, however the authors skip too many steps and make you constantly flip around in the book to review previous examples upon which he bases the new examples. The end result is just wasteful trashing by the student.
This is a good book, but it does't have enough textbook examples to be used for an intro class in Kalam filtering.
Maybe this book would be useful as a secondary reference for a person that already knows Kalman filtering.
Most useful text on the subject I have been working with "Kalman Fitering, ... Using Matlab", 2nd Edition, for several weeks, and I must tell you it is by far the most useful text on the subject.
Kalman what??? I have to say this is a strange book on Kalman filtering - the structure of the book is probably as incoherent as the presentation. It is not a good book for a student wishing to learn Kalman Filtering and how to adapt it to practical problems.
I think the authors assume that the readers all know about Kalman filters and as far as introductions are concerned, only need to know the history of it. Indeed it is not until chapter 4.2 that you get any acknowledgement of the actual filter the rest of the book is peripheral information that would apply if you were a seasoned Kalman Filter expert.
The weird thing is that anyone with a detailed knowledge of Kalman Filtering would certainly know everything there was to know about matrix algebra, and so Appendix B has a tutorial or refresher on matrix forms - weird.
The notation also appears non standard and there are many sections where equation variables are not well explained and the examples very obsure and the premable non existent.
This is not a good book for any one wishing to either familiarise themselves with Kalman filtering - there is some good information in this but it is not a text book by any stretch of the imagination.
Anything Goes Trivia
Megaton Man
Tailipoe
Trevor
