Signal processing algorithms for high-bandwidth chemical sensors

Deliverable 2.5 is a written report that defines the optimal signal processing algorithms that are used to extract the critical features from the responses of the MOX gas and Polymer VOC HBW sensors. These algorithms extract key features that remove the baseline drift and time dependence of the sensors signals. They are used to predict the gas and VOC concentration levels and these values are then stored by the mobile robot or used for tracking purposes. The signal processing algorithms can also be supplied as software in the form of computer code, e.g. C, if required.