Introduction to Optimal Estimation (Advanced Textbooks in Control and Signal Processing) - Image 1

£40.29

Springer Introduction to Optimal Estimation (Advanced Textbooks in Control and Signal Processing)

Name: Introduction to Optimal Estimation (Advanced Textbooks in Control and Signal Processing)
Brand: Springer
Price: 40.29 GBP
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Computer Science

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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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 185233133X
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Publication Date: 30 September 1999
Listed Since: 16 December 2006

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Springer Introduction to Optimal Estimation (Advanced Textbooks in Control and Signal Processing)

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