State Estimation in Chemometrics

The Kalman Filter and Beyond

Nonfiction, Science & Nature, Science, Chemistry, Analytic
Cover of the book State Estimation in Chemometrics by Pierre C. Thijssen, Elsevier Science
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Author: Pierre C. Thijssen ISBN: 9780857099372
Publisher: Elsevier Science Publication: February 28, 2008
Imprint: Woodhead Publishing Language: English
Author: Pierre C. Thijssen
ISBN: 9780857099372
Publisher: Elsevier Science
Publication: February 28, 2008
Imprint: Woodhead Publishing
Language: English

This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. It further applies system theory in order to develop a modular framework to be implemented on computer for the development of simple intelligent analyzers. Short reviews on the history of state estimation and chemometrics are given, together with examples of the applications described, including classical estimation, state estimation, non-linear estimation, the multi-component, calibration and titration systems and the Kalman filter. The contents are very systematic and build the ideas up logically to appeal to specialist post-graduates working in this area, together with professionals in other areas of chemistry and engineering.

  • Blends together state estimation and chemometrics for the application of advanced data-processing techniques
  • Provides short reviews on the history of state estimation and chemometrics, together with examples of the applications described
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. It further applies system theory in order to develop a modular framework to be implemented on computer for the development of simple intelligent analyzers. Short reviews on the history of state estimation and chemometrics are given, together with examples of the applications described, including classical estimation, state estimation, non-linear estimation, the multi-component, calibration and titration systems and the Kalman filter. The contents are very systematic and build the ideas up logically to appeal to specialist post-graduates working in this area, together with professionals in other areas of chemistry and engineering.

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