This handy technical reference provides extensive coverage of Wiener and Kalman filtering along with a development of least squares estimation, maximum likelihood estimation, and maximum a posteriori estimation based on discrete-time measurements. There is strong emphasis on how they interrelate and fit together to form a systematic development of optimal estimation. Examples and exercises refer to MATLAB software.
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This handy technical reference provides extensive coverage of Wiener and Kalman filtering along with a development of least squares estimation, maximum likelihood estimation, and maximum a posteriori estimation based on discrete-time measurements. There is strong emphasis on how they interrelate and fit together to form a systematic development of optimal estimation. Examples and exercises refer to MATLAB software.
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Add this copy of Introduction to Optimal Estimation to cart. $51.65, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 1999 by Springer.
Add this copy of Introduction to Optimal Estimation (Advanced Textbooks to cart. $54.21, fair condition, Sold by Anybook rated 4.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 1999 by Springer.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 700grams, ISBN: 9781852331337.
Add this copy of Introduction to Optimal Estimation (Advanced Textbooks to cart. $67.28, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 1999 by Springer.
