robust_calibration Namespace Reference

Classes
class	EnvironmentalState
class	GaussMarkovBiasModel
class	CalibrationPoint
class	RobustCalibrationFramework

Variables
	logger = logging.getLogger(__name__)

Detailed Description

Robust Calibration Framework for Pressure Transducers
Based on the mathematical framework from PressureTransducerCalibrationFramework.tex

Implements:
- Bayesian regression with hierarchical priors
- Total Least Squares (TLS) for robust calibration
- Recursive Least Squares (RLS) with forgetting
- Generalized Likelihood Ratio (GLR) testing for drift detection
- Environmental-robust calibration maps
- Extended Kalman Filter integration for bias correction

Variable Documentation

logger

robust_calibration.logger = logging.getLogger(__name__)

Definition at line 27 of file robust_calibration.py.