INVESTIGADORES
GUGLIOTTA Luis Marcelino
capítulos de libros
Título:
Correction for Instrumental Broadening in Size Exclusion Chromatography through a Stochastic Matrix Approach Based on Wiener Filtering Theory
Autor/es:
GUGLIOTTA, L.M.; ALBA, D.; MEIRA, G.R.
Libro:
Detection and Data Analysis in Size Exclusion Chromatography
Editorial:
American Chemical Society
Referencias:
Lugar: Washington; Año: 1987; p. 287 - 298
Resumen:
The correction for non-uniform instrumental broadening in SEC is solved through a non-recursive matrix stochastic technique. to this effect, Tung´s equation (1) muest be reformulated in matrix form, and the measurements assumed contaminated with zero-mean noise. The proposed technique is based on an extension to time-varying systems of Wiener´s optimal filtering method (1-3). The estimation of the corrected chromatogram is optimal in the sense of minimizing the estimation error variance. A test for verifying the results is proposed, which is based on a comparison between the innovations sequence and its corresponding expected standard deviation. The technique is tested on both synthetic and experimental examples, and compared with and available recursive algorithm based on the Kalmar filter (4).