Premium
Compression of first‐order spectral data using the B‐spline zero compression method
Author(s) -
Olsson Ralf J. O.,
Karlsson Mikael,
Moberg Ludvig
Publication year - 1996
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/(sici)1099-128x(199609)10:5/6<399::aid-cem440>3.0.co;2-i
Subject(s) - standard deviation , mathematics , compression (physics) , partial least squares regression , data compression , curse of dimensionality , transmittance , statistics , spline (mechanical) , algorithm , optics , materials science , physics , composite material , thermodynamics
The B‐spline zero (B0) compression method has been investigated for three different raw spectrometric data sets, namely NIR reflectance. FT‐IR reflectance and UV‐VIS transmittance data. The data were modelled with partial least squares (PLS) regression and we have investigated the compression ratio and model dimensionality versus the ability to preserve the information of the original data as a function of knot sequence guide type, i.e. mean, standard deviation (SD) and relative standard deviation (RSD) of the variables. Generally we conclude that the investigated data can be compressed to about 20% of the original number of variables without loss of prediction ability or change in model dimensionality (number of pc's) in comparison with the original data. © 1996 by John Wiley & Sons, Ltd.