An intelligent noise reduction method for chaotic signals based on genetic algorithms and lifting wavelet transforms

@article{Han2013AnIN,
  title={An intelligent noise reduction method for chaotic signals based on genetic algorithms and lifting wavelet transforms},
  author={XiaoHong Han and Xiaoming Chang},
  journal={Inf. Sci.},
  year={2013},
  volume={218},
  pages={103-118}
}
Time series observed in real world is often nonlinear, even chaotic. However, observed data is often contaminated by noise of various types. To effectively extract desired information from observed data, it is vital to preprocess data to reduce noise for both the analysis of dynamical systems and many potential applications of these systems. In this paper, we present a noise reduction approach to the problem of additive source separation characterized by wide band power spectra when one of the… CONTINUE READING

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