Sensors, Circuits, and Systems for Scientific Instruments,
Edition 1 Fundamentals and Front-EndsEditors: By Soumyajit Mandal, Ph.D.
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Sensors, 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.
Key Features
- 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
About the author
By Soumyajit Mandal, Ph.D., School of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA
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
9781119457336; 9781107087354; 9781138723061
- Exercises
- ImageBank.html
- PPT Lecture Slides
- chapter_01_figures.pptx
- chapter_02_figures.pptx
- chapter_03_figures.pptx
- chapter_04_figures.pptx
- chapter_05_figures.pptx
- chapter_06_figures.pptx
- chapter_07_figures.pptx
- chapter_08_figures.pptx
- chapter_09_figures.pptx
- chapter_10_figures.pptx
- chapter_11_figures.pptx
- chapter_12_figures.pptx
- chapter_13_figures.pptx
- chapter_14_figures.pptx
- Solutions Manual
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
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