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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Yes, you can access Measurement Data Modeling and Parameter Estimation by Zhengming Wang, Dongyun Yi, Xiaojun Duan, Jing Yao, Defeng Gu in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Technology. We have over one million books available in our catalogue for you to explore.

Information

Publisher

CRC Press

Year

2016

ISBN

9781040052792

Edition

Topic

Computer Science

Subtopic

Information Technology

Index

Computer Science

Cover
Half-Title Page
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Authors
Chapter 1 Error Theory
Chapter 2 Parametric Representations OF Functions TO Be Estimated
Chapter 3 Methods of Modern Regression Analysis
Chapter 4 Methods of Time Series Analysis
Chapter 5 Discrete-Time Kalman Filter
Chapter 6 Processing Data from Radar Measurements
Chapter 7 Precise Orbit Determination OF LEO Satellites Based ON Dual-Frequency GPS
Appendix 1 Matrix Formulas IN Common Use
Appendix 2 Distributions in Common Use
Index