Regression analysis of FMCW–LiDAR beat signals for non‐linear chirp mitigation

2019 ◽  
Vol 55 (16) ◽  
pp. 914-916 ◽  
Author(s):  
H. Tsuchida
2017 ◽  
Vol 44 (9) ◽  
pp. 51-58
Author(s):  
A.V. Genis ◽  
A.V. Kuznetsov ◽  
G.M. Il'yutkina ◽  
L.V. Polyakov

The main relationships governing the production of combined filter/sorption materials by plying-up with the application of adhesive melts have been studied. It has been established that the use of single-stage bonding technology makes it possible to improve the physical and physicomechanical properties of multilayer non-woven mats. The possibility of optimising the plying-up process by using multiple non-linear regression analysis has been demonstrated. Materials with service properties suitable for use in protective clothing have been obtained.


1985 ◽  
Vol 50 (2) ◽  
pp. 538-550 ◽  
Author(s):  
Ernest Šturdík ◽  
Štefan Baláž ◽  
Marián Antalík ◽  
Pavol Sulo

Apparent partition coefficients in n-octanol-buffer system, solubility in the buffers, and retention by mitochondria from rat liver, by Mycobacterium phlei and by Saccharomyces cerevisiae (after 10 min incubation) have been characterized for 13 arylsubstituted phenylhydrazonopropanedinitrile derivatives. Regression analysis has shown linear dependence of logarithms of the apparent partition coefficients on the published π parameters characterizing lipophilicity of the substituents. The apparent partition coefficients are inversely proportional to the solubility of the phenylhydrazonopropanedinitriles. The retention by the biosystems studied increases linearly with increasing lipophilicity, being independent of reactivity of the phenylhydrazonopropanedinitriles. The non-linear dependence of concentration of the phenylhydrazonopropanedinitriles remaining in the medium on the lipophilicity indicates that a lipophilic-hydrophilic equilibrium is established in the given time. The retained amount of the derivatives tested decreases with increasing pH values. The dependences are Z-shaped and have been described by the equations derived from the model presented by application of non-linear regression analysis.


Author(s):  
Yufeng Wu ◽  
Guang-Cai Sun ◽  
Xiang-Gen Xia ◽  
Mengdao Xing ◽  
Jun Yang ◽  
...  
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