High-resolution four-dimensional carbon-correlated 1H–1H ROESY experiments employing isotags and the filter diagonalization method for effective assignment of glycosidic linkages in oligosaccharides

2006 ◽  
Vol 181 (1) ◽  
pp. 79-88 ◽  
Author(s):  
Geoffrey S. Armstrong ◽  
Brad Bendiak
2008 ◽  
Vol 41 (4) ◽  
pp. 209-219 ◽  
Author(s):  
Justin T. Douglas ◽  
Michael P. Latham ◽  
Geoffrey S. Armstrong ◽  
Brad Bendiak ◽  
Arthur Pardi

The Analyst ◽  
2012 ◽  
Vol 137 (19) ◽  
pp. 4546 ◽  
Author(s):  
Roberta Manzano Maria ◽  
Tiago Bueno Moraes ◽  
Claudio José Magon ◽  
Tiago Venâncio ◽  
Wanessa Fernanda Altei ◽  
...  

2003 ◽  
Vol 02 (04) ◽  
pp. 497-505 ◽  
Author(s):  
VLADIMIR A. MANDELSHTAM

Harmonic inversion of Chebyshev correlation and cross-correlation functions by the filter diagonalization method (FDM) is one of the most efficient ways to accurately compute the complex spectra of low dimensional quantum molecular systems. This explains the growing popularity of the FDM in the past several years. Some of its most attractive features are the predictable convergence properties and the lack of adjusting parameters. These issues however are often misunderstood and mystified. We discuss the questions relevant to the optimal choices for the FDM parameters, such as the window size and the number of basis functions. We also demonstrate that the cross-correlation approach (using multiple initial states) is significantly more effective than the conventional autocorrelation approach (single initial state) for the common case of a non-uniform eigenvalue distribution.


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