The feature extraction is the operation aimed at extracting from the temporal evolution of the sensor signal a number of synthetic descriptors to be used in the input of pattern recognition model. A comparison of two alternative approaches is investigated. These novel methods are based on an array driven feature extraction, and a specifically defined phase-space where sensor signals are represented. In this paper, these methods are described and illustrated through two typical electronic nose applications.
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