Sensors, Circuits, and Systems for Scientific Instruments
Author | : Soumyajit Mandal |
Publisher | : Academic Press |
Total Pages | : 890 |
Release | : 2025-03-26 |
ISBN-10 | : 9780323950671 |
ISBN-13 | : 0323950671 |
Rating | : 4/5 (71 Downloads) |
Download or read book Sensors, Circuits, and Systems for Scientific Instruments written by Soumyajit Mandal and published by Academic Press. This book was released on 2025-03-26 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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