Fundamentals towards Adaptive Fractal Filtering for Multiple Dimensional Signals
- https://doi.org/10.2991/mcei-16.2016.207How to use a DOI?
- Adaptive filter; Fractal dimension; Fuzzy control; Filter square error
The fractal dimension of signal can be applied into signal filtering. This application makes filtering adaptive to the change of the signal condition. To compare different filtering effect with different relation between filter parameter and signal fractal dimension, this paper shows results of two experiments, which include the processing of one-dimensional signal and image (two-dimensional signal). In these experiments, the outputs of fractal filter with different parameters are compared, showing filter parameters determined by signal fractal dimension in different ways are suitable in different ranges respectively in Weierstrass signal process, and that different relation between filter parameter and image fractal dimension can bring different edge enhancement effect.
- © 2017, 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 - Zhuang Mo AU - Liang Gong PY - 2016/12 DA - 2016/12 TI - Fundamentals towards Adaptive Fractal Filtering for Multiple Dimensional Signals BT - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016) PB - Atlantis Press SP - 990 EP - 994 SN - 1951-6851 UR - https://doi.org/10.2991/mcei-16.2016.207 DO - https://doi.org/10.2991/mcei-16.2016.207 ID - Mo2016/12 ER -