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Title: Pattern analysis techniques for identification of individual gases using response of a poorly selective solid state sensor array
Authors: Agarwal, Akash
Supervisor: Kumar, Ravi
Keywords: E-Nose;PCA;ICA;KNN
Issue Date: 27-Aug-2013
Abstract: Identification of odors/gases using an array of chemical sensors is a challenging task. The cross-sensitivity of individual gases results in poor selectivity. This makes identification of individual gases a computationally demanding task. Thus, there arises a strong need for efficient pattern analysis/computational models which could take into picture the high correlation in data due to the cross sensitivities of sensors while performing classification task.
Description: Master of Engineering (ECE)Dissertation
Appears in Collections:Masters Theses@ECED

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