De-noising for Chaotic Signals Based on Adaptive Thresholding Wavelet
ZHANG Qiaobing
WEI Xiulei
LIU Shuyong
Abstract：For the purpose of improving adaptive performance of chaotic signals de‐noising with wavelet transform ,a floating parameter is set to regulate the threshold of wavelet signal on different scales according to the correlation dimension of chaotic time series .The genetic algorithm is helpful to obtain global optimum thresholds and to reduce much time wasted by the adaptive searching computation .De‐noising for Chaotic time series generated by Lorenz system is simulated to com‐pare with other methods ,and the results showed that the proposed method is effective .
Keywords：chaotic signaloptimal thresholdwavelet transformde-noising
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 49-51,72 )