Drift Compensation of Gas Sensor Array Data by Common Principal Component Analysis

@inproceedings{Ziyatdinov2009DriftCO,
  title={Drift Compensation of Gas Sensor Array Data by Common Principal Component Analysis},
  author={Andrey Ziyatdinov and Santiago Marco and A. Chaudry and K. C. Persaud and Pere Caminal and Alex Perera},
  year={2009}
}
A new drift compensation method based on Common Principal Component Analysis (CPCA) is proposed. The drift variance in data is found as the principal components computed by CPCA. This method finds components that are common for all gasses in feature space. The method is compared in classification task with respect to the other approaches published where the drift direction is estimated through a Principal Component Analysis (PCA) of a reference gas. The proposed new method – employing no… CONTINUE READING
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