title: Improved piecewise orthogonal signal correction algorithm.
abstract: Piecewise orthogonal signal correction (POSC), an algorithm that performs local orthogonal filtering, was recently developed to process spectral signals. POSC was shown to improve partial leastsquares regression models over models built with conventional OSC. However, rank deficiencies within the POSC algorithm lead to artifacts in the filtered spectra when removing two or more POSC components. Thus, an updated OSC algorithm for use with the piecewise procedure is reported. It will be demonstrated how the mathematics of this updated OSC algorithm were derived from the previous version and why some OSC versions may not be as appropriate to use with the piecewise modeling procedure as the algorithm reported here.
authors.affiliation: Chemometrics Research Group, Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716, USA.
authors.forename: Robert N
authors.initials: RN
authors.lastname: Feudale
authors.forename: Huwei
authors.initials: H
authors.lastname: Tan
authors.forename: Steven D
authors.initials: SD
authors.lastname: Brown
mesh_terms: D000465:Algorithms; D009821:Oils / Q000032:analysis; D011506:Proteins / Q000032:analysis; D012815:Signal Processing, Computer-Assisted; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D013213:Starch / Q000032:analysis; D014867:Water / Q000032:analysis; D003313:Zea mays / Q000737:chemistry
chemical_list: D009821:Oils; D011506:Proteins; D014867:Water; D013213:Starch