Raman spectral data denoising based on wavelet analysis

2008 ◽  
Author(s):  
Chen Chen ◽  
Fei Peng ◽  
Qinghua Cheng ◽  
Dahai Xu
2014 ◽  
Vol 102 (16) ◽  
pp. 15-18
Author(s):  
Nitendra Kumar ◽  
A. H. Siddiqi ◽  
Khursheed Alam

1997 ◽  
Vol 51 (3) ◽  
pp. 407-415 ◽  
Author(s):  
V. Vacque ◽  
N. Dupuy ◽  
B. Sombret ◽  
J. P. Huvenne ◽  
P. Legrand

In the analytical environment, spectral data resulting from analysis of samples often represent mixtures of several components. Extraction of information about pure components of these kinds of mixtures is a major problem, especially when reference spectra are not available or when unstable intermediates are formed. Self-modeling multivariate mixture analysis has been developed for this type of problem. In this paper two examples will be used to show the potential of this technique coupled with FT-Raman spectroscopy to elucidate reaction mechanisms and to follow in situ the kinetics of chemical transformations.


2011 ◽  
Vol 989 (1-3) ◽  
pp. 38-44
Author(s):  
Anne Horn ◽  
Henning Hopf ◽  
Peter Klaeboe

Author(s):  
Xiaoyu Zhao ◽  
Zihao Liu ◽  
Yan He ◽  
Wei Zhang ◽  
Liang Tong

2014 ◽  
Vol 45 (10) ◽  
pp. 930-940 ◽  
Author(s):  
Wilm Schumacher ◽  
Stephan Stöckel ◽  
Petra Rösch ◽  
Jürgen Popp

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