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Phys. Rev. E 64, 016209 (2001) [9 pages]

Effective normalization of complexity measurements for epoch length and sampling frequency

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P. E. Rapp*
Department of Pharmacology and Physiology, Medical College of Pennsylvania Hahnemann University, Philadelphia, Pennsylvania 19129
The Arthur P. Noyes Clinical Research Foundation, Norristown, Pennsylvania

C. J. Cellucci
Department of Physics, Ursinus College, Collegeville, Pennsylvania 19426
The Arthur P. Noyes Clinical Research Foundation, Norristown, Pennsylvania

K. E. Korslund
Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington

T. A. A. Watanabe
Department of Pharmacology and Physiology, Medical College of Pennsylvania Hahnemann University, Philadelphia, Pennsylvania 19129
The Arthur P. Noyes Clinical Research Foundation, Norristown, Pennsylvania

M. A. Jiménez-Montaño
Department of Physics and Mathematics, Universidad de las Américas, Puebla, Mexico

Received 22 November 2000; revised 21 March 2001; published 14 June 2001

The algorithmic complexity of a symbol sequence is sensitive to the length of the message. Additionally, in those cases where the sequence is constructed by the symbolic reduction of an experimentally observed wave form, the corresponding value of algorithmic complexity is also sensitive to the sampling frequency. In this contribution, we present definitions of algorithmic redundancy that are sequence-sensitive generalizations of Shannon’s original definition of information redundancy. In contrast with algorithmic complexity, we demonstrate that algorithmic redundancy is not sensitive to message length or to observation scale (sampling frequency) when stationary systems are examined.

© 2001 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevE.64.016209
DOI:
10.1103/PhysRevE.64.016209
PACS:
05.45.-a

*Corresponding author. Clinical Research Center, Building 52, Norristown State Hospital, 1001 Sterigere St., Norristown, PA 19401-5397. Email address: Paul.E.Rapp@Drexel.edu