Sensors Instrumentation And Special Topics
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Special Topics in Structural Dynamics & Experimental Techniques, Volume 5
Special Topics in Structural Dynamics & Experimental Techniques, Volume 5: Proceedings of the 38th MAC, A Conference and Exposition on Structural Dynamics, 2020, the fifth volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Analytical Methods Emerging Technologies for Structural Dynamics Engineering Extremes Experimental Techniques Finite Element Techniques General Topics.
Sensors, Circuits, and Systems for Scientific Instruments
Sensors, Circuits, and Systems for Scientific Instruments: Back-Ends and Applications delves into the advanced world of sensors and circuits tailored for precision measurements. This text builds on foundational concepts from prior studies and focuses on the sophisticated processes in the later stages of measurement. From data converters to digital signal processing, and parameter estimation to machine learning, this volume provides students with critical insights into testing, verification, and system integration through practical case studies involving various scientific instruments.Designed for senior undergraduates and entry-level graduate students in electrical and computer engineering, applied physics, and biomedical engineering, this book bridges a gap between component-focused texts and broad surveys, offering a thorough understanding of back-end systems and applications. - Develops a unified treatment of modern scientific instruments by combining knowledge of high-performance sensors, semiconductor devices, circuits, signal processing, and embedded computing - Focuses on fundamental concepts in precision sensing and interface circuitry (accuracy, precision, linearity, noise, etc.) and their impact on system-level performance - Introduces readers to the indispensable role of signal detection theory, pattern recognition, and machine learning for modern scientific instrumentation - Presents multiple case studies and examples to demonstrate how theoretical concepts are translated into real-life measurement systems