Noise reduction for chaos signal on wavelet in non-stationary environment
Sun Peng-yong · Electronics Optics & Control · 2006
Traditional method for noise reduction of chaos signal is objectless and limited,since it is usually only effective for the noise in stationary environment or changes slowly.According to the distribution characteristics of signal and noise in wavelet domain,the signal singularity is detected by the abscissa point converged by maximum mould of signal and noise in minute scale.The threshold is determined according to the fractal dimensions theory,the position of noise in wavelet domain and the wavelet coefficient are obtained for realizing noise reduction.Simulation result shows that this algorithm is effective.