A Multi-Objective Approach for Post-Nonlinear Source Separation and Its Application to Ion-Selective Electrodes

Author(s)

Pelegrina, Guilherme D. ^[1] ; Duarte, Leonardo T. ^[1]

Affiliation

^[1] Univ Estadual Campinas, Sch Appl Sci, BR-13484350 Limeira - Brazil

• Document type: Journal article
• Source: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS; v. 65, n. 12, p. 2067-2071, DEC 2018.
• Web of Science Citations: 1

Abstract

Blind source separation (BSS) methods have been applied to deal with the lack of selectivity of ion-selective electrodes. In this brief, differently from the standard BSS solutions, which are based on the optimization of a mono-objective cost function associated with a given property of the sought signals, we introduce a novel approach by relying on multi-objective optimization. Numerical experiments with actual data attested that our proposal allows the incorporation of additional information on the interference model and also provides the user a set of solutions from which he/she can select a proper one according to his/her prior knowledge on the problem. (AU)

• FAPESP's process: 15/16325-1 - Novel methods in multicreria decision analysis by means of advanced signal processing techniques
• Grantee: Leonardo Tomazeli Duarte
• Support Opportunities: Regular Research Grants
• FAPESP's process: 14/27108-9 - Multiobjective optimization method for inverse problems and blind source separation
• Grantee: Guilherme Dean Pelegrina
• Support Opportunities: Scholarships in Brazil - Master