摘要
针对噪声对水文动力系统混沌识别影响,运用小波消噪方法研究含有观测噪声的水文时间序列的关联维数.计算结果表明,消噪后水文时间序列的饱和关联维数比消噪前有明显降低,证明了小波消噪的有效性,为混沌水文系统中噪声的去除提供了一种新的途径.
Considering the influence of noise on the chaos identification of the dynamic hydrologic system, the method of wavelet de-noising is applied to study the correlation dimension of the hydrological time series containing measure error. The results show that the saturated correlation dimension of the de-noised runoff series decreases obviously. So the method of wavelet de-noising is reliable, which provides a new path for the noise reduction of the hydrological time series.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2008年第2期170-175,共6页
Systems Engineering-Theory & Practice
关键词
水文系统
噪声
混沌识别
小波消噪
饱和关联维数
hydrologic system
noise
chaos identification
wavelet de-noising
saturated correlation dimension
