Nonlinear Blind Source Separation for Chemical Sensor Arrays Based on a Polynomial Representation

Abstract : —In this paper we propose an extension of a blind source separation algorithm that can be used to process the data obtained by an array of ion-selective electrodes to measure the ionic activity of different ions in an aqueous solution. While the previous algorithm used a polynomial approximation of the mixing model and used mutual information as means of estimating the mixture coefficients, but it only worked for a constrained configuration of two sources with the same ionic valence. Our proposed method is able to generalize it to any number of sources and any type of ions, and is therefore able to solve the problem for any configuration. Simulations show good results for the analyzed application.
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https://hal.archives-ouvertes.fr/hal-01400550
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Submitted on : Tuesday, November 22, 2016 - 10:29:34 AM
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Rafael Ando, Christian Jutten, Bertrand Rivet, Romis Attux, Leonardo Duarte. Nonlinear Blind Source Separation for Chemical Sensor Arrays Based on a Polynomial Representation. 24th European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary. ⟨hal-01400550⟩

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