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Introduction Optimal Estimation by Kamen Edward (20 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.3.
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US$ 41.03
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Add to basketCondition: Fair. 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.
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US$ 61.34
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US$ 60.00
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Condition: New.
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Introduction to Optimal Estimation (Paperback)
Published by Springer London Ltd, England, 1999
ISBN 10: 185233133X ISBN 13: 9781852331337
Language: English
Paperback. Condition: new. Paperback. 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 MATLABa. 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. An introduction to both 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. MATLAB is used in some of the examples and required for many of the homework problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 69.77
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Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Introduction to Optimal Estimation (Advanced Textbooks in Control and Signal Processing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.80
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US$ 65.82
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Introduction to Optimal Estimation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.22
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Condition: New. pp. 400.
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Introduction to Optimal Estimation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 76.53
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US$ 115.38
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Add to basketPaperback. Condition: Like New. Like New. book.
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US$ 42.89
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Add to basketCondition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
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Introduction to Optimal Estimation (Paperback)
Published by Springer London Ltd, England, 1999
ISBN 10: 185233133X ISBN 13: 9781852331337
Language: English
US$ 146.92
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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 MATLABa. 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. An introduction to both 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. MATLAB is used in some of the examples and required for many of the homework problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Introduction to Optimal Estimation
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 78.15
Convert currencyUS$ 16.86 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 589.
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US$ 89.94
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Add to basketCondition: New. Print on Demand pp. 400 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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US$ 98.16
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Add to basketCondition: New. PRINT ON DEMAND pp. 400.
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US$ 56.74
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A strong technical reference book for both students and engineersAuthors are well-respected in their fieldA handy technical introduction to the latest theories and techniques of optimal estimation. It provides readers with extensive coverage of Wien.
