ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Signal characterization using fractal dimension

Raghavendra, BS and Dutt, Narayana D (2010) Signal characterization using fractal dimension. In: Fractals - Complex Geometry, Patterns, and Scaling in Nature and Society, 18 (3). pp. 287-292.

[img] PDF
raghav_fractals.pdf - Published Version
Restricted to Registered users only

Download (211kB) | Request a copy
Official URL: http://www.worldscinet.com/fractals/18/1803/S02183...


Fractal Dimensions (FD) are one of the popular measures used for characterizing signals. They have been used as complexity measures of signals in various fields including speech and biomedical applications. 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 may help in gaining a better understanding of the FD complexity measure itself, and for interpreting changing structural complexity of signals in terms of FD. Our results indicate that FD is a useful measure in quantifying structural changes in signal properties.

Item Type: Journal Article
Publication: Fractals - Complex Geometry, Patterns, and Scaling in Nature and Society
Publisher: World Scientific Publishing Company
Additional Information: Copyright of this article belongs to World Scientific Publishing Company.
Keywords: Fractal Dimension; Higuchi's Method; Complexity; Signal Characterization
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 22 Dec 2010 08:02
Last Modified: 24 Jan 2011 11:45
URI: http://eprints.iisc.ac.in/id/eprint/34578

Actions (login required)

View Item View Item