Lessons in Estimation Theory for Signal Processing, Communications, and Control (2nd Edition)
| Author | : | |
| Rating | : | 4.68 (800 Votes) |
| Asin | : | 0131209817 |
| Format Type | : | paperback |
| Number of Pages | : | 592 Pages |
| Publish Date | : | 2017-11-12 |
| Language | : | English |
DESCRIPTION:
Well-organized and clear lessons on estimation theory when used as a textbook Poor Student During the winter 2008 academic quarter I took an introductory class on optimal estimation which relied heavily on this book, covering about 70% of the material. I felt the text gave a great background on optimal estimation, but because I used it in conjunction with an engineering class, I can't really say how great the book would be as, say, a self-study aid. I am disappointed at the price vs. binding ratio for this book, si. Surjan Dogra said Lessons in Estimation Theory is an Excellent Text Book. I first used this text book in 1980 at USC. At that time, it was only in the form of prepared lecture notes. The current organization of this book is the same as before. New material has been added. I purchased this book because of the new revised material. I find the book to be very systematic. It is an excellent book for personal study of the subject or as a graduate text book. Since 1980, there are some other books that ar. why do I need to read this? A Customer I don't know after I finished this book. And reading this book is definitely not an enjoyable experience. The worst thing is the writer wrote this book into a math book. The worst of the worst, it's a math book with 'n', 'N', 'k', 'lambda' all these messed up. It takes unnecessary effort to figure out the dimensions of matrixes and vectors. After all the torture, I cannot find a tiny bit of physical meaning attached behind. T
Approximately one half of the book is devoted to parameter estimation while the other half concentrates on state estimation. . From the Publisher To help readers differentiate among the rich collection of estimation methods and algorithms, this book describes in detail many of the important estimation methods and shows how they are intended. Written as a collection of lessons, the book introduces readers to the general field of estimation theory and includes abundant supplementary material
The computation that is essential in order to use the estimation algorithms, is associated with MATLAB and its associated tool boxes.. An introduction to the field of estimation theory. It is in a lesson format and so can be used for self-study or in a one semester course