Superresolution of FT-NMR Spectra by the Maximum Entropy Method and AR Model Fitting with Singular Value Decomposition

1990 ◽  
Vol 29 (Part 1, No. 1) ◽  
pp. 212-218 ◽  
Author(s):  
Takanori Uchiyama ◽  
Haruyuki Minamitani ◽  
Makoto Sakata
1989 ◽  
Vol 25 (7-8) ◽  
pp. 861-869 ◽  
Author(s):  
T.N. Huckerby ◽  
I.A. Nieduszynski ◽  
G.H. Cockin ◽  
J.M. Dickenson ◽  
H. Morris ◽  
...  

2012 ◽  
Vol 516-517 ◽  
pp. 1386-1390 ◽  
Author(s):  
Hao Kun Guo ◽  
Jun Ji Wu ◽  
Zhan Feng Ying

Background noise interference is one of the most important factors for low-voltage power line communication’s reliability. By analyzing the background noise of low-voltage power line communication’s channel, the background noise’s measuring circuit is set up and the AR model of the measured background noise is established. Both of them are respectively using singular value decomposition and Levinson-Durbin (LD) recursive method to calculate the AR model’s parameters and a comparative analysis of the simulation is made. The results induct: parameters acquired from the methods of singular value decomposition and LD recursive method are feasible, the parameter model from singular value decomposition is relatively complex, but extremely accurate, which is suitable for the off-line calculation and analysis of the low-voltage power line’s background noise; the parameter model from LD recursive method is very simple, but has a greater loss of accuracy, fitting for online quickly generation of the low-voltage power line’s background noise.


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