Measurements and Analysis of Self-similarity Based on Experimental Data

DOI

10.2991/mcae-16.2016.37How to use a DOI?

Keywords

self-similarity; scale coefficient strange attractor; land clutter

Abstract

A method about the fractal characterization of nonstationary time series, which is based on measure by dividing the sequence into many segments and not sensitive to embedding dimension, is proposed in this letter. There are several differences in our method compare with above methods. To analyze several experimental data we find that the new method can effectively measure the fractal scale coefficient and detect present of the object in land clutter.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongfei Liu
AU  - Lijun Li
AU  - Jianchao Gan
PY  - 2016/07
DA  - 2016/07
TI  - Measurements and Analysis of Self-similarity Based on Experimental Data
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 154
EP  - 157
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.37
DO  - 10.2991/mcae-16.2016.37
ID  - Liu2016/07
ER  -