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  4. Fractional Brownian Models For Vector Field Data
 
conference paper

Fractional Brownian Models For Vector Field Data

Tafti, Pouya Dehghani
•
Unser, Michael  
2010
2010 Ieee International Symposium On Information Theory
2010 IEEE International Symposium on Information Theory

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.

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Type
conference paper
DOI
10.1109/ISIT.2010.5513260
Web of Science ID

WOS:000287512700350

Author(s)
Tafti, Pouya Dehghani
Unser, Michael  
Date Issued

2010

Publisher

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa

Published in
2010 Ieee International Symposium On Information Theory
ISBN of the book

978-1-4244-6960-4

Series title/Series vol.

IEEE International Symposium on Information Theory

Start page

1738

End page

1742

Subjects

Fractional Brownian motion

•

fractional Brownian vector fields

•

stochastic modelling

•

vector fields

•

invariance

•

generalized random processes

•

characteristic functional

URL

URL

http://bigwww.epfl.ch/publications/tafti1002.html

URL

http://bigwww.epfl.ch/publications/tafti1002.pdf

URL

http://bigwww.epfl.ch/publications/tafti1002.ps
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIB  
Event nameEvent placeEvent date
2010 IEEE International Symposium on Information Theory

Austin, TX

Jul 13, 2010

Available on Infoscience
January 10, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/76481
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