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
Link To Document :
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