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Signal Characterization using Fractal Dimension

Raghavendra, BS and Dutt, D Narayana (2008) Signal Characterization using Fractal Dimension. In: IEEE Region 10 Conference (TENCON 2008), NOV 19-21, 2008, Hyderabad, INDIA, pp. 1522-1525.

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Fractal Dimensions (FD) are popular metrics for characterizing signals. They are used as complexity measuresin signal analysis applications in various fields. However, proper interpretation of such analyses has not been thoroughly addressed. In this paper, we study the effect of various signal properties on FD and interpret results in terms of classical signal processing concepts such as amplitude, frequency,number of harmonics, noise power and signal bandwidth. We have used Higuchi’s method for estimating FDs. This study helps in gaining a better understanding of the FD complexity measure for various signal parameters. Our results indicate that FD is a useful metric in estimating various signal properties. As an application of the FD measure in real world scenario, the FD is used as a feature in discriminating seizures from seizure free intervals in intracranial EEG data recordings and the FD feature has given good discrimination performance.

Item Type: Conference Paper
Publication: 2008 IEEE region 10 conference: tencon 2008
Series.: TENCON-IEEE Region 10 Conference Proceedings
Publisher: IEEE
Additional Information: Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 04 Jan 2010 07:39
Last Modified: 19 Sep 2010 05:36
URI: http://eprints.iisc.ac.in/id/eprint/21149

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