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Measurement data modeling and parame...
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Wang, Zhengming, (1962-)
Measurement data modeling and parameter estimation
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Measurement data modeling and parameter estimationZhengming Wang ... [et al.].
其他作者:
Wang, Zhengming,
出版者:
Boca Raton, FL :CRC Press,©2011.
面頁冊數:
1 online resource (xxi, 531 p.) :ill.
標題:
Parameter estimationData processing.
電子資源:
http://www.crcnetbase.com/doi/book/10.1201/b11498
ISBN:
9781439853795 (electronic bk.)
Measurement data modeling and parameter estimation
Measurement data modeling and parameter estimation
[electronic resource] /Zhengming Wang ... [et al.]. - Boca Raton, FL :CRC Press,©2011. - 1 online resource (xxi, 531 p.) :ill. - Systems evaluation, prediction, and decision-making series. - Systems evaluation, prediction, and decision-making series..
Includes bibliographical references and index.
Ch. 1. Error theory -- ch. 2. Parametric representations of functions to be estimated -- ch. 3. Methods of modern regression analysis -- ch. 4. Methods of time series analysis -- ch. 5. Discrete-time Kalman filter -- ch. 6. Processing data from radar measurements -- ch. 7. Precise orbit determination of LEO satellites based on dual-frequency GPS.
"This book discusses the theories, methods, and application techniques of the measurement data mathematical modeling and parameter estimation. It seeks to build a bridge between mathematical theory and engineering practice in the measurement data processing field so theoretical researchers and technical engineers can communicate. It is organized with abundant materials, such as illustrations, tables, examples, and exercises. The authors create examples to apply mathematical theory innovatively to measurement and control engineering. Not only does this reference provide theoretical knowledge, it provides information on first hand experiences"--
ISBN: 9781439853795 (electronic bk.)Subjects--Topical Terms:
696930
Parameter estimation
--Data processing.
LC Class. No.: QA276.8 / .M44 2011
Dewey Class. No.: 530.8
Measurement data modeling and parameter estimation
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Ch. 1. Error theory -- ch. 2. Parametric representations of functions to be estimated -- ch. 3. Methods of modern regression analysis -- ch. 4. Methods of time series analysis -- ch. 5. Discrete-time Kalman filter -- ch. 6. Processing data from radar measurements -- ch. 7. Precise orbit determination of LEO satellites based on dual-frequency GPS.
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"This book discusses the theories, methods, and application techniques of the measurement data mathematical modeling and parameter estimation. It seeks to build a bridge between mathematical theory and engineering practice in the measurement data processing field so theoretical researchers and technical engineers can communicate. It is organized with abundant materials, such as illustrations, tables, examples, and exercises. The authors create examples to apply mathematical theory innovatively to measurement and control engineering. Not only does this reference provide theoretical knowledge, it provides information on first hand experiences"--
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http://www.crcnetbase.com/doi/book/10.1201/b11498
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