Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (5): 40-44,50.doi: 10.3969/j.issn.1000-565X.2015.05.007

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Noise Suppression Algorithm for Chaotic Mapping Based on Nonlocal Mean

Wang Meng-jiao Feng Jiu-chao Wu Zhong-tang Fang Jie Wang Qian   

  1. School of Electronic and Information Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China
  • Received:2014-12-08 Revised:2015-01-12 Online:2015-05-25 Published:2015-05-07
  • Contact: 冯久超(1964-)，男，教授，博士生导师，主要从事电路及信号处理的理论与应用研究． E-mail:fengjc@scut.edu.cn
  • About author:王梦蛟(1983-)，男，博士生，讲师，主要从事混沌信号处理研究． E-mail: wangmengjiao_1983@163． com
  • Supported by:
    Supported by the National Natural Science Foundation of China(60872123)，the Joint Fund of the National Natural Science Foundation and the Guandong Provincial Natural Science Foundation(U0835001)

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Abstract: Proposed in this paper is a noise suppression algorithm for chaotic mapping on the basis of nonlocal mean． According to the characteristics of chaotic mappings，this algorithm obtains the optimal filtering parameters (including patch size，search neighborhood and bandwidth) of the nonlocal mean applied to the noise suppression of chaotic mappings via experimental analysis． Simulated results show that the proposed algorithm outperforms such existing methods as phase space estimating projection，extended Kalman filtering and unscented Kalman filtering in terms of Gaussian noise suppression; and that it effectively suppresses chaotic mappings at different noise levels．

Key words: chaotic mapping, signal noise suppression, nonlocal mean, adaptive filtering