Gas-lab - Drift — Trusted Source

: A signal processing technique that removes components of the sensor response that are not correlated with the target gas, effectively filtering out "drift noise".

A critical "helpful feature" or strategy for managing this issue is , which uses software-based signal processing to maintain accuracy without constant manual recalibration. Key Helpful Features & Methods Gas-Lab - Drift

In the context of gas sensing and electronic noses, refers to the gradual, unpredictable shift in sensor responses over time, often caused by sensor aging, contamination, or environmental changes. : A signal processing technique that removes components

: Modern systems extract both steady-state and transient features from the sensor's response. The relationship between these two can be used to adjust drifted readings back to a "month 1" baseline. refers to the gradual