摘要
对一些有效的混沌信号降噪算法,如相空间重构混沌信号、小波变换技术、正反向迭代法等,进行了原理阐述,并给出了各种算法的物理解释和算法应用的先验条件,说明了各种算法在混沌系统降噪时的局限性.在此基础上指出了低信噪比和高维混沌信号的进一步研究方向.
In recent years some available algorithms of the noise reduction （NR）, such as phase space reconstruction, wavelet transform technology, generalized herative algorithm etc., have been put forward. This paper summarizes the main current methods for NR of contaminated chaotic signals. The physical explanations and limitations of the various algorithms are illustrated. Lastly the further research direction is indicated for the high-dimension chaotic signals.
出处
《测试技术学报》
2006年第2期179-183,共5页
Journal of Test and Measurement Technology
关键词
混沌信号
噪声抑制
算法
相空间重构
chaotic signals
noise-reduction （NR）
algorithm
phase space reconstruction
