Fractal analysis of time varying data

Vo-Dinh, Tuan; Sadana, Ajit

Title: Fractal analysis of time varying data

Abstract

Characteristics of time varying data, such as an electrical signal, are analyzed by converting the data from a temporal domain into a spatial domain pattern. Fractal analysis is performed on the spatial domain pattern, thereby producing a fractal dimension D.sub.F. The fractal dimension indicates the regularity of the time varying data.

Inventors:

Vo-Dinh, Tuan ^[1]; Sadana, Ajit ^[2]

Knoxville, TN
Oxford, MS

Issue Date:: 2002-01-01

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

OSTI Identifier:: 874608

Patent Number(s):: 6422998

Assignee:: UT-Battelle, LLC (Oak Ridge, TN)

Patent Classifications (CPCs):: G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING

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G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G06F17/17 - Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method

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DOE Contract Number:: AC05-96OR22464

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: fractal; analysis; time; varying; data; characteristics; electrical; signal; analyzed; converting; temporal; domain; spatial; pattern; performed; producing; dimension; dsubf; indicates; regularity; electrical signal; /600/

Citation Formats


                    Vo-Dinh, Tuan, and Sadana, Ajit. Fractal analysis of time varying data.  United States: N. p., 2002. 
        Web.

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                    Vo-Dinh, Tuan, & Sadana, Ajit. Fractal analysis of time varying data.  United States.

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                    Vo-Dinh, Tuan, and Sadana, Ajit. Tue .  
        "Fractal analysis of time varying data".  United States.  https://www.osti.gov/servlets/purl/874608.

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@article{osti_874608,

  title        = {Fractal analysis of time varying data},

  author       = {Vo-Dinh, Tuan and Sadana, Ajit},

  abstractNote = {Characteristics of time varying data, such as an electrical signal, are analyzed by converting the data from a temporal domain into a spatial domain pattern. Fractal analysis is performed on the spatial domain pattern, thereby producing a fractal dimension D.sub.F. The fractal dimension indicates the regularity of the time varying data.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2002},

  month        = {1}

}

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Works referenced in this record:

The application of fractal dimension to temporomandibular joint sounds
journal, January 1993

Badwal, Roger S. S.
Computers in Biology and Medicine, Vol. 23, Issue 1
https://doi.org/10.1016/0010-4825(93)90103-8

Fractal dimension characterizes seizure onset in epileptic patients
conference, January 1999

Esteller, R.; Vachtsevanos, G.; Echauz, J.
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
https://doi.org/10.1109/ICASSP.1999.758408

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Title: Fractal analysis of time varying data

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Citation Formats

The application of fractal dimension to temporomandibular joint sounds journal, January 1993

Fractal dimension characterizes seizure onset in epileptic patients conference, January 1999

The application of fractal dimension to temporomandibular joint sounds
journal, January 1993

Fractal dimension characterizes seizure onset in epileptic patients
conference, January 1999