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