LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Sensors, Circuits, and Systems for Scientific Instruments
Fundamentals and Front-Ends
- 1st Edition - April 1, 2025
- Author: Soumyajit Mandal
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 0 6 6 - 4
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 0 6 7 - 1
Sensors, Circuits, and Systems for Scientific Instruments: Fundamentals and Front-Ends presents a unified treatment of modern measurement systems by integrating relevant knowledge… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteSensors, Circuits, and Systems for Scientific Instruments: Fundamentals and Front-Ends 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
Senior-level undergraduates and beginning graduate students in electrical and computer engineering, applied physics, biomedical engineering, and related disciplines / Roughly 125 US schools offer an bioinstrumentation course taken by 9,000 students, while another 30 US schools offer an electronic instrumentation course. It is estimated that the global number is approximately double
Section 1: Fundamentals
1 Review of Linear Systems
2 General Properties of Measurement Systems
Section 2: Devices
3 Review of Semiconductor Device Physics
4 Models of Electronic Devices
5 Sensors and Actuators
6 Models of Sensors and Actuators
7 Noise in Devices
Section 3: Circuits
8 Noise in Circuits
9 Low-Noise Front-End Design
10 Precision Circuit Techniques
11 High-Power Front-End Design
12 Oscillators and Frequency References
13 Digitization
Section 4: Signals and Data Processing
14 Review of Digital Signal Processing
15 Embedded Processing
16 Optimal Filtering and Signal Detection
17 Pattern Recognition and Machine Learning
Section 5: System Design and Integration
18 System-Level Design and Simulation
19 System Integration and Deployment
Section 6: Applications
20 Measurements in Extreme Environments
21 Medical Imaging: MRI
22 Medical Imaging: Ultrasound
23 Radio Astronomy
24 High-Energy Physics
25 Detection of Gravitational Waves
1 Review of Linear Systems
2 General Properties of Measurement Systems
Section 2: Devices
3 Review of Semiconductor Device Physics
4 Models of Electronic Devices
5 Sensors and Actuators
6 Models of Sensors and Actuators
7 Noise in Devices
Section 3: Circuits
8 Noise in Circuits
9 Low-Noise Front-End Design
10 Precision Circuit Techniques
11 High-Power Front-End Design
12 Oscillators and Frequency References
13 Digitization
Section 4: Signals and Data Processing
14 Review of Digital Signal Processing
15 Embedded Processing
16 Optimal Filtering and Signal Detection
17 Pattern Recognition and Machine Learning
Section 5: System Design and Integration
18 System-Level Design and Simulation
19 System Integration and Deployment
Section 6: Applications
20 Measurements in Extreme Environments
21 Medical Imaging: MRI
22 Medical Imaging: Ultrasound
23 Radio Astronomy
24 High-Energy Physics
25 Detection of Gravitational Waves
- No. of pages: 700
- Language: English
- Edition: 1
- Published: April 1, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780323950664
- eBook ISBN: 9780323950671
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.
Affiliations and expertise
School of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA