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Measurement Data Modeling and Parameter Estimation

By: Material type: TextTextSeries: Systems evaluation, prediction, and decision-making seriesPublication details: Boca Raton : CRC Press, c2012.Description: 553 pISBN:
  • 9780429062070
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 530.8 M484
Online resources: Available additional physical forms:
  • Also available in print edition.
Contents:
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.
Summary: 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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Item type Current library Call number Status Barcode
E-Books E-Books Indian Institute of Technology Tirupati 530.8 (Browse shelf(Opens below)) Available EB00348

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--

Also available in print edition.

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