A Blind Source Separation Method Applied to Simultaneous Kinetic Multicomponent Determination
Applied Mechanics and Materials(2013)
Abstract
A multi-dimensional data processing method, independent component analysis-based principal component regression (ICA-PCR) was developed for simultaneous kinetic determination of Cu (II), Fe (III) and Ni (II). Independent component analysis is a newly developed signal processing technique aiming at solving related blind source separation (BSS) problem. One program, PICAPCR, was designed to perform relative calculations. Experimental results showed the ICA-PCR method to be successful for simultaneous multicomponent kinetic determination even where there was severe overlap of spectra.
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Key words
blind source separation,independent component analysis,multi-dimensional data processing,principal component regression
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