Fundamentals towards Adaptive Fractal Filtering for Multiple Dimensional Signals

DOI

10.2991/mcei-16.2016.207How to use a DOI?

Keywords

Adaptive filter; Fractal dimension; Fuzzy control; Filter square error

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/mcei-16.2016.207
ID  - Mo2016/12
ER  -