Optimum Array Processing and Characterization of Inhomogeneous Random Fields

1989 ◽  
Vol 35 (2) ◽  
pp. 98-104
Author(s):  
Leon H Sibul ◽  
Mark L Fowler
2018 ◽  
Vol 50 (3) ◽  
pp. 706-725
Author(s):  
Julie Fournier

Abstract A deterministic application θ:ℝ2→ℝ2 deforms bijectively and regularly the plane and allows the construction of a deformed random field X∘θ:ℝ2→ℝ from a regular, stationary, and isotropic random field X:ℝ2→ℝ. The deformed field X∘θ is, in general, not isotropic (and not even stationary), however, we provide an explicit characterization of the deformations θ that preserve the isotropy. Further assuming that X is Gaussian, we introduce a weak form of isotropy of the field X∘θ, defined by an invariance property of the mean Euler characteristic of some of its excursion sets. We prove that deformed fields satisfying this property are strictly isotropic. In addition, we are able to identify θ, assuming that the mean Euler characteristic of excursion sets of X∘θ over some basic domain is known.


Author(s):  
J Baker ◽  
A Seifried ◽  
J Andrade ◽  
Q Chen

2013 ◽  
Vol 32 (2) ◽  
pp. 77 ◽  
Author(s):  
Martin Lehmann ◽  
Jobst Eisengräber-Pabst ◽  
Joachim Ohser ◽  
Ali Moghiseh

The formation index of filter paper is one of the most important characteristics used in industrial quality control. Its estimation is often based on subjective comparison chart rating or, even more objective, on the power spectrum of the paper structure observed on a transmission light table. It is shown that paper formation can be modeled as Gaussian random fields with a well defined class of correlation functions, and a formation index can be derived from the density of the Bartlett spectrum estimated from image data. More precisely, the formation index is the mean of the Bessel transform of the correlation taken for wave lengths between 2 and 5 mm.


2016 ◽  
Vol 111 ◽  
pp. 312-322 ◽  
Author(s):  
F. Schoefs ◽  
E. Bastidas-Arteaga ◽  
T.V. Tran ◽  
G. Villain ◽  
X. Derobert
Keyword(s):  

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