Evolving factor analysis resolution

M. Maeder, Evolving factor analysis for the resolution of overlapping chromatographic peaks. Anal. Chem., 59 (1987) 527-530. 

M. Maeder and A.D. Zuberbuhler, The resolution of overlapping chromatographic peaks by evolving factor analysis. Anal. Chim. Acta, 181 (1986) 287-291. 

Local Rank and Resolution Evolving Factor Analysis... 

LOCAL RANK AND RESOLUTION EVOLVING FACTOR ANALYSIS AND RELATED TECHNIQUES... 

Maeder, M., Evolving Factor Analysis for the Resolution of Overlapping Chromatographic... 

F.C. Sanchez, S.C. Rutan, M.D. Gil Garcia and D.L. Massart, Resolution of Multicomponent Overlapped Peaks by the Orthogonal Projection Approach, Evolving Factor Analysis and Window Factor Analysis, Chemom. Intell. Labs. Syst. 36 (1997), 153-164. 

To solve a univariate deconvolution problem, approaches such as evolving factor analysis (EFA) (Maeder, 1987) or multivariate curve resolution (MCR) (Tauler Barcelo, 1993), among others (Vivo-Truyols et al., 2002 Sarkar et al., 1998 Kong et al. 2005) can be used. When these approaches are used with univariate data, the variables to be solved for are the number, positions, and abundances of each of the peaks that make up the signal. 

More commonly, we are faced with the need for mathematical resolution of components, using their different patterns (or spectra) in the various dimensions. That is, literally, mathematical analysis must supplement the chemical or physical analysis. In this case, we very often initially lack sufficient model information for a rigorous analysis, and a number of methods have evolved to "explore the data", such as principal components and "self-modeling analysis (21), cross correlation (22). Fourier and discrete (Hadamard,. . . ) transforms (23) digital filtering (24), rank annihilation (25), factor analysis (26), and data matrix ratioing (27). 

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