Introduction to Optimal Estimation
Kamen, Edward W.; Su, Jonathan K.
Sold by ThriftBooks-Dallas, Dallas, TX, U.S.A.
AbeBooks Seller since 2 July 2009
Used - Soft cover
Condition: Used - Very good
Quantity: 1 available
Add to basketSold by ThriftBooks-Dallas, Dallas, TX, U.S.A.
AbeBooks Seller since 2 July 2009
Condition: Used - Very good
Quantity: 1 available
Add to basketMay have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.3.
Seller Inventory # G185233133XI4N00
Developed from a set of lecture notes by Professor Kamen and since developed and refined by both authors, this introductory yet comprehensive study is a prime example in its field. There are examples in the book that use MATLAB® and many of the problems discussed require the use of MATLABâ. The primary objective is to provide students with an extensive coverage of Wiener and Kalman filtering along with the development of least squares estimation, maximum likelihood estimation and maximum a posteriori estimation, based on discrete-time measurements. In the study of these estimation techniques there is a strong emphasis on how they interrelate and fit together to form a systematic development of optimal estimation. Also included in the text is a chapter on nonlinear filtering focusing on the extended Kalman filter and a recently-developed nonlinear estimator based on a block-form version of the Levenberg-Marquardt algorithm.
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