| ISBN13: | 9780323950664 |
| ISBN10: | 0323950663 |
| Binding: | Paperback |
| No. of pages: | 700 pages |
| Size: | 235x191 mm |
| Language: | English |
| 700 |
Sensors, Circuits, and Systems for Scientific Instruments
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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.
- 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
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