Sensors, Circuits, and Systems for Scientific Instruments A Unified Approach |
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| Author:
| Mandal, Soumyajit |
| ISBN: | 978-0-323-95067-1 |
| Publication Date: | Mar 2025 |
| Publisher: | Elsevier Science & Technology Books
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| Imprint: | Academic Press |
| Book Format: | Ebook |
| List Price: | USD $120.00USD $144.00 |
Book Description:
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Sensors, Circuits, and Systems for Scientific Instruments: A Unified Approach 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...
More Description
Sensors, Circuits, and Systems for Scientific Instruments: A Unified Approach 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.