signal_interpretation_pipelines.md

(Yellow‑zone draft)

Signal Interpretation Pipelines#

Pipelines that convert raw sensor data into interpreted quantities (e.g., mass‑to‑charge, resonance frequency, field strength). They are powerful but inference‑dependent.

Dimensional Core (SET)#

• Spin: relevant for magnetic or quantum systems
• Elec: digital processing
• Temp: affects drift and noise

Why Yellow‑Zone#

Interpretation pipelines introduce multi‑stage inference.
Each stage (filtering, normalization, feature extraction) adds assumptions that influence the final output.

Regime Notes#

• pos‑regime: clean signals, stable hardware
• Q‑regime: mixed signals, partial overlap
• neg‑regime: ambiguous data, unstable baselines

Alignment Notes#

Needs explicit notes on pipeline stages and assumption stacking.