A handbook stressing the enduring theoretical principles of the design of measurement systems. The material is organized to correspond to the sequence in which a management system is first conceived, then designed, built, installed, and maintained. Includes the latest information on digital signals, pattern recognition, digital data networks and feedback systems design, and focus on the problem of extracting signals in the presence of noise sources at any useful depth.
A handbook stressing the enduring theoretical principles of the design of measurement systems. The material is organized to correspond to the sequence in which a management system is first conceived, then designed, built, installed, and maintained. Includes the latest information on digital signals, pattern recognition, digital data networks and feedback systems design, and focus on the problem of extracting signals in the presence of noise sources at any useful depth.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Peter H. Sydenham is the editor of Handbook of Measurement Science, Volume 1: Theoretical Fundamentals, published by Wiley. Richard Thorn is the editor of Handbook of Measurement Science, Volume 1: Theoretical Fundamentals, published by Wiley.
Inhaltsangabe
Partial table of contents: Theory and Philosophy of Measurement (L. Finklestein). Standardization of Measurement Fundamentals and Practices (P. H.Sydenham). Signals and Systems in the Time and Frequency Domain (E. G.Woschni). Discrete Signals and Frequency Spectra (M. J. Miller). Measurement Errors, Probability and Information Theory (D.Hofmann). Signal-to-noise Ratio Improvement (D. M. Munroe). Transmission of Data (R. W. Grimes).
Partial table of contents: Theory and Philosophy of Measurement (L. Finklestein). Standardization of Measurement Fundamentals and Practices (P. H.Sydenham). Signals and Systems in the Time and Frequency Domain (E. G.Woschni). Discrete Signals and Frequency Spectra (M. J. Miller). Measurement Errors, Probability and Information Theory (D.Hofmann). Signal-to-noise Ratio Improvement (D. M. Munroe). Transmission of Data (R. W. Grimes).
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