Sensors, Circuits, and Systems for Scientific Instruments
Back-Ends and Applications
- 1 Edición - 16 de junio de 2025
- Última edición
- Autor: Soumyajit Mandal
- Idioma: Inglés
Sensors, Circuits, and Systems for Scientific Instruments: Back-Ends and Applications delves into the advanced world of sensors and circuits tailored for precision measur… Leer más
Descripción
Descripción
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.
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.
Puntos claves
Puntos claves
- 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
De interès para
De interès para
Senior-level undergraduates and beginning graduate students in electrical and computer engineering, applied physics, biomedical engineering, and related disciplines
Índice
Índice
1: Review of Digital Signal Processing
2: Analog-to-Digital Conversion
3: Digital-to-Analog Conversion
4: Optimal Filtering and Signal Detection
5: Pattern Recognition and Machine Learning
6: System-Level Design and Simulation
7: System Integration and Deployment
8: Electrochemistry and Biopotential Monitoring
9: Ultrasound Measurements
10: Magnetic Resonance Imaging
11: Advanced Magnetic Resonance Imaging
12: Quantum Sensors and Measurements
13: Photon Detectors
14: Detection of Gravitational Waves
2: Analog-to-Digital Conversion
3: Digital-to-Analog Conversion
4: Optimal Filtering and Signal Detection
5: Pattern Recognition and Machine Learning
6: System-Level Design and Simulation
7: System Integration and Deployment
8: Electrochemistry and Biopotential Monitoring
9: Ultrasound Measurements
10: Magnetic Resonance Imaging
11: Advanced Magnetic Resonance Imaging
12: Quantum Sensors and Measurements
13: Photon Detectors
14: Detection of Gravitational Waves
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 16 de junio de 2025
- Idioma: Inglés
Sobre el autor
Sobre el autor
SM
Soumyajit Mandal
Soumyajit Mandal received his M.S. and Ph.D. degrees in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 2004 and 2009, respectively. He was a Research Scientist with Schlumberger-Doll Research, Cambridge (2010 to 2014), an Assistant Professor with the Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA (2014 to 2019), and an Associate Professor with the Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA (2019 to 2021). He is currently a Senior Engineer in the Instrumentation Division at Brookhaven National Laboratory, Upton, NY, USA. He has over 150 publications in peer-reviewed journals and conferences and has been awarded 24 patents. His research interests include low-power analog and RF circuits, embedded systems, magnetic resonance sensors, and precision instrumentation for various biomedical and sensor interface applications.
Dr. Mandal received the President of India Gold Medal in 2002, the MIT Microsystems Technology Laboratories (MTL) Doctoral Dissertation Award in 2009, the T. Keith Glennan Fellowship in 2016, and the IIT Kharagpur Young Alumni Achievers Award in 2018. He is a Senior Member of the IEEE.
Afiliaciones y experiencia
School of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USAVer libro en ScienceDirect
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