DocumentCode
3059658
Title
Fractional Brownian models for vector field data
Author
Tafti, Pouya Dehghani ; Unser, Michael
Author_Institution
Lab. d´´imagerie Biomed., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear
2010
fDate
13-18 June 2010
Firstpage
1738
Lastpage
1742
Abstract
In this note we introduce a vector generalization of fractional Brownian motion. Our definition takes into account directional properties of vector fields-such as divergence, rotational behaviour, and interactions with coordinate transformations-that have no counterpart in the scalar setting. Apart from the Hurst exponent which dictates the scale-dependent structure of the field, additional parameters of the new model control the balance between solenoidal and irrotational behaviour. This level of versatility makes these random fields potentially interesting candidates for the stochastic modelling of physical phenomena in various fields of application such as fluid dynamics, field theory, and medical image processing.
Keywords
Brownian motion; Hurst exponent; fractional Brownian model; fractional Brownian motion; irrotational behaviour; random field; scalar setting; scale-dependent structure; solenoidal behaviour; stochastic modelling; vector field data; vector generalization; Biomedical image processing; Brownian motion; Fluid dynamics; Gaussian noise; Mathematical model; Random processes; Stochastic processes; Stochastic systems; Telecommunication traffic; White noise; Fractional Brownian motion; characteristic functional; fractional Brownian vector fields; generalized random processes; invariance; stochastic modelling; vector fields;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-7890-3
Electronic_ISBN
978-1-4244-7891-0
Type
conf
DOI
10.1109/ISIT.2010.5513260
Filename
5513260
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