Placeholder chapter page. Sections are produced by the book-skills pipeline.
Sections
- 2.1 Direct and indirect observables
- 2.2 Resolution, sensitivity, dynamic range
- 2.3 Noise sources and signal-to-noise ratio
- 2.4 Bias, drift, hysteresis, saturation
- 2.5 Transfer functions and response time
- 2.6 Cross-sensitivity and environmental coupling
- 2.7 Measurement models as the bridge to AI
Lab 2
simulate bias, drift, saturation, and colored noise; quantify their effect on a classifier and an anomaly detector.