Sensors, Circuits, and Systems for Scientific Instruments: Back-Ends and Applications delves into the advanced world of sensors and circuits tailored for precision measurements. This text builds on foundational concepts from prior studies and focuses on the sophisticated processes in the later stages of measurement. From data converters to digital signal processing, and parameter estimation to machine learning, this volume provides students with critical insights into testing, verification, and system integration through practical case studies involving various scientific instruments.
Designed for senior undergraduates and entry-level graduate students in electrical and computer engineering, applied physics, and biomedical engineering, this book bridges a gap between component-focused texts and broad surveys, offering a thorough understanding of back-end systems and applications.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. xvii 8. Acknowledgments - p. xxi 9. Chapter 1: Review of discrete-time signal processing - p. 1 10. Chapter 2: Analog-to-digital conversion - p. 87 11. Chapter 3: Digital-to-analog conversion - p. 197 12. Chapter 4: Optimal filtering and signal detection - p. 241 13. Chapter 5: Pattern recognition and machine learning - p. 281 14. Chapter 6: System-level design and simulation - p. 325 15. Chapter 7: System integration and deployment - p. 367 16. Chapter 8: Electrochemistry and biopotential monitoring - p. 401 17. Chapter 9: Ultrasound measurements - p. 451 18. Chapter 10: Magnetic resonance imaging - p. 505 19. Chapter 11: Advanced magnetic resonance imaging - p. 595 20. Chapter 12: Quantum sensors and measurements - p. 639 21. Chapter 13: Photon detectors - p. 725 22. Chapter 14: Detection of gravitational waves - p. 825 23. Index - p. 887
Sensors, Circuits, and Systems for Scientific Instruments: Back-Ends and Applications delves into the advanced world of sensors and circuits tailored for precision measurements. This text builds on foundational concepts from prior studies and focuses on the sophisticated processes in the later stages of measurement. From data converters to digital signal processing, and parameter estimation to machine learning, this volume provides students with critical insights into testing, verification, and system integration through practical case studies involving various scientific instruments.
Designed for senior undergraduates and entry-level graduate students in electrical and computer engineering, applied physics, and biomedical engineering, this book bridges a gap between component-focused texts and broad surveys, offering a thorough understanding of back-end systems and applications.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. xvii 8. Acknowledgments - p. xxi 9. Chapter 1: Review of discrete-time signal processing - p. 1 10. Chapter 2: Analog-to-digital conversion - p. 87 11. Chapter 3: Digital-to-analog conversion - p. 197 12. Chapter 4: Optimal filtering and signal detection - p. 241 13. Chapter 5: Pattern recognition and machine learning - p. 281 14. Chapter 6: System-level design and simulation - p. 325 15. Chapter 7: System integration and deployment - p. 367 16. Chapter 8: Electrochemistry and biopotential monitoring - p. 401 17. Chapter 9: Ultrasound measurements - p. 451 18. Chapter 10: Magnetic resonance imaging - p. 505 19. Chapter 11: Advanced magnetic resonance imaging - p. 595 20. Chapter 12: Quantum sensors and measurements - p. 639 21. Chapter 13: Photon detectors - p. 725 22. Chapter 14: Detection of gravitational waves - p. 825 23. Index - p. 887
