Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Über dieses Produkt
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471104930
ISBN-139780471104933
eBay Product ID (ePID)934867
Product Key Features
Number of Pages782 Pages
Publication NameHandbook of Measurement Science, Volume 2 : Practical Fundamentals
LanguageEnglish
Publication Year1991
SubjectMeasurement, Electronics / General
TypeTextbook
Subject AreaMathematics, Technology & Engineering
AuthorRichard Thorn
SeriesHandbook of Measurement Science Ser.
FormatHardcover
Dimensions
Item Height1.8 in
Item Weight45.2 Oz
Item Length9.4 in
Item Width6.3 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN00-267868
Series Volume Number13
Number of Volumes3 vols.
IllustratedYes
Volume NumberVol. 2
Table Of ContentPartial table of contents: Static and Steady-State Considerations (P. Sydenham). Fundamentals of Transducers: Description by Mathematical Models (L.Finkelstein & R. Watts). Measurement of Electrical Signals and Quantities (L.Schnell). Electrical and Electronic Regime of Measuring Instruments (P.Sydenham). Transducer Practice: Displacement (P. Sydenham). Transducer Practice: Thermal (P. Sydenham). Design and Manufacture of Measurement Systems (F. Peuscher). Management of Existing Measurement Systems (J. Hobson). Sources of Information on Measurement (P. Sydenham). References. Index.
SynopsisA 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., 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.