
Sensors, Circuits, and Systems for Scientific Instruments
Fundamentals and Front-Ends
by Soumyajit Mandal
1st Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780323950664 |
| eText ISBN | 9780323950671 |
| Publisher | Academic Press |
| Publishing Year | 2025 |
| Edition | 1st Edition |
| Language | English |
| Pages | 700 |
Sensors, Circuits, and Systems for Scientific Instruments, 1st Edition, is a comprehensive textbook published by Academic Press that delivers a unified treatment of modern measurement systems. Written for upper-level undergraduate and beginning graduate students in electrical and computer engineering, applied physics, and biomedical engineering, the book connects physical sensing principles directly to hardware architecture and computational analysis.
The text emphasizes fundamental concepts in precision sensing and interface circuitry, including critical parameters such as accuracy, precision, linearity, and noise. Instructional topics progress from linear systems and semiconductor device physics through device modeling, low-noise front-end design, precision circuit techniques, digitization, and embedded computing.
To address complex data acquisition requirements, the volume introduces signal detection theory, pattern recognition, and machine learning algorithms. Detailed case studies demonstrate how high-level designs and theoretical calculations convert into physical instruments, making this 700-page work a dedicated resource for specialized instrumentation courses.
Table of Contents
Chapter 1: Review of Linear Systems
Chapter 2: General Properties of Measurement Systems
Chapter 3: Review of Semiconductor Device Physics
Chapter 4: Models of Electronic Devices
Chapter 5: Sensors and Actuators
Chapter 6: Models of Sensors and Actuators
Chapter 7: Noise in Devices
Chapter 8: Noise in Circuits
Chapter 9: Low-Noise Front-End Design
Chapter 10: Precision Circuit Techniques
Chapter 11: High-Power Front-End Design
Chapter 12: Oscillators and Frequency References
Chapter 13: Digitization
Chapter 14: Review of Digital Signal Processing
Chapter 15: Embedded Processing
Chapter 16: Optimal Filtering and Signal Detection
Chapter 17: Pattern Recognition and Machine Learning
Chapter 18: System-Level Design and Simulation
Chapter 19: System Integration and Deployment
Chapter 20: Measurements in Extreme Environments
Chapter 21: Medical Imaging: MRI
Chapter 22: Medical Imaging: Ultrasound
Chapter 23: Radio Astronomy
Chapter 24: High-Energy Physics
Chapter 25: Detection of Gravitational Waves
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