The art of measurement : theory and practice
著者
書誌事項
The art of measurement : theory and practice
（Hewlett-Packard professional books）
Prentice Hall PTR, c2000
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Includes bibliographical references and index
内容説明・目次
内容説明
2617D-3 Meaningful measurements for the Millennium Once upon a time, measurements were taken with simple scales or meters and resulted in explicit quantities such as weight, distance, or voltage. With the ubiquity of low-cost computing power, we now have the ability to measure more complex and dynamic systems, using implicit parameters that are not directly accessible to physical measuring devices, and which are often highly interdependent. The Art of Measurement: Theory and Practice is the first book to bring together the practical tools of standard measurement with the philosophy and theory behind probability and statistical estimation. The result is a book that empowers users to find the best approach for each measurement they make, and to learn how to evaluate and balance the impact of the inevitable inaccuracies that occur. In keeping with its practical approach, The Art of Measurement: Theory and Practice uses numerous case studies to give concrete illustrations of theoretical concepts. Drawn from the fields of electrical and mechanical engineering, control systems, and satellite navigation technologies, these examples offer a broad variety of applications for all users.
The book's appendices offer a review of basic mathematical terminology and tools, but to get the most out of this book some higher-level math is required, in particular a familiarity with Fourier and Laplace transforms, matrix algebra, multi-dimensional vector spaces, probability theory, statistics, and estimation theory. Scientists and engineers in a variety of fields will find The Art of Measurement: Theory and Practice an invaluable addition to their reference libraries.
目次
1. A Philosophical Viewpoint.
The "Ultimate" Measurement. The Mindset of Measuring. Measurement Quality. Attributes of the Measurement Model. Bibliography on Our World Geometry.
2. The Measurement Model.
The Optimum Number of Parameters. Various Parameter Attributes. Example: DC Battery Resistance. Example: Control System Loop Gain. Example: Modes of Vibration. Example: GPS Navigation System. Summary. Bibliography on Modeling Examples.
3. Measurements as Random Variables.
Prologue on Uncertainty. Introduction to Probability Theory. Probability Theory-Extended. Example: A Noisy Measurement. Example: A Noisy Measurement with Bias. Discrete or Quantized Random Variables. PDFs for Mixed Random Variables. Some Matrices in Probability Theory. Summary. Bibliography on Probability Theory.
4. Estimating Parameter Values.
To Measure Is to Estimate. The Concept of Abstract Metric Spaces. Example: Single-Pole Transfer Function. The Least-Squares Estimate. Maximum Likelihood Estimation. Estimation Using Bayes Theorem. Sequential Estimation. The Kalman Filter. General Comments on Estimation Methods. Summary of Estimation Techniques. Bibliography on Estimation Theory.
5. A Few Examples in More Detail.
Preview of Four Examples. Measuring the DC Resistance of a Battery. Closed-Loop Control System Measurements. Vibration Modes of Mechanical Structures. GPS Navigation System. Summary of Four Measurement Examples.
Appendix A.
Review of Basic Mathematical Tools. Preview. The Fourier Transform. The Laplace Transform. Matrix Algebra. Abstract Vector Spaces. Bibliography on Mathematical Tools.
Appendix B.
Derivation of GPS Navigation Equations. Glossary of Technical Words and Concepts.
Index.
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