Measurements and Analysis of Self-similarity Based on Experimental Data
- https://doi.org/10.2991/mcae-16.2016.37How to use a DOI?
- self-similarity; scale coefficient strange attractor; land clutter
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/mcae-16.2016.37 ID - Liu2016/07 ER -