Sensors Circuits And Systems For Scientific Instruments
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Sensors, Circuits, and Systems for Scientific Instruments
"Sensors, Circuits, and Systems for Scientific Instruments: Back-Ends and Applications" explores the advanced realm of sensors and circuits for precision measurements. Building upon the foundational concepts explored in the introductory first volume from author Soumyajit Mandal, this advanced text focuses on the sophisticated processes involved in the later stages of a measurement. From data converters and digital signal processing to parameter estimation, machine learning, and system-level integration, this volume enables students to gain insights into testing, verification, and the synthesis of these concepts through real-life case studies featuring a variety of scientific instruments. Tailored for senior-level undergraduates and entry-level graduate students in electrical and computer engineering, applied physics, biomedical engineering, and related fields, this book bridges the gap between specialized component-focused texts and broad survey-style overviews.
Sensors, Circuits, and Systems for Scientific Instruments
Sensors, Circuits, and Systems for Scientific Instruments: A Unified Approach presents a unified treatment of modern measurement systems by integrating relevant knowledge in sensors, circuits, signal processing, and machine learning. It also presents detailed case studies of several real-life measurement systems to illustrate how theoretical analysis and high-level designs are translated into working scientific instruments. The book is meant for upper-level undergraduate and beginning graduate students in electrical and computer engineering, applied physics, and biomedical engineering. It is designed to fill a gap in the market between books focused on specific components of measurement systems (semiconductor devices, analog circuits, digital signal processing, etc.) and books that provide a high-level "survey" or "handbook"-type overview of a wide range of sensors and measurement systems. - 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 instead of presenting a "laundry list" of sensor types - 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
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