نتایج جستجو برای: multivariate curve resolution

تعداد نتایج: 517633  

2016
Julien Billeter Michael Amrhein Dominique Bonvin

Multivariate curve resolution via alternating least squares (ALS) is used to resolve the concentration profiles and the pure component spectra of species from the multivariate absorbance data , assuming the bilinear model = . Due to the possible permutations of profiles and the presence of intensity and rotational ambiguities, soft constraints such as nonnegativity of and as well as unimodality...

Journal: :international journal of nano dimension 0
a. saidi department of chemistry, shahid bahonar universityof kerman, 22 bahman boulevard, kerman 76169, iran. m. mirzaei department of chemistry, shahid bahonar universityof kerman, 22 bahman boulevard, kerman 76169, iran.

in this research, gold nanoparticles were synthesized and functionalized by the antibody of aflatoxins. the quenching of the fluorescence of excitation emission matrices (eem) of two type of aflatoxins (b1, g1), provoked by the gold nanoparticles, was studied by principal component analysis (pca) and multivariate curve resolution with alternating least squares (mcr-als). these aflatoxins show q...

2015
Hiromi Motegi Yuuri Tsuboi Ayako Saga Tomoko Kagami Maki Inoue Hideaki Toki Osamu Minowa Tetsuo Noda Jun Kikuchi

There is an increasing need to use multivariate statistical methods for understanding biological functions, identifying the mechanisms of diseases, and exploring biomarkers. In addition to classical analyses such as hierarchical cluster analysis, principal component analysis, and partial least squares discriminant analysis, various multivariate strategies, including independent component analys...

Journal: :Information and Inference: A Journal of the IMA 2023

Abstract In this paper, we study the high-dimensional super-resolution imaging problem. Here, are given an image of a number point sources light whose locations and intensities unknown. The is pixelized blurred by known point-spread function arising from device. We encode unknown their via non-negative measure propose convex optimization program to find it. Assuming device’s componentwise decom...

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