摘要
讨论了将小波变换用于非平稳信号建模的原理，分析了１７００年～１９９３年的太阳黑子数的年均值，提出一种用于非线性非平稳时间序列建模的新方法，与传统方法相比具有独到之处。
The principle of the application of wavelet transform to nonlinear nonstationary signals is discussed.The yearly mean sunspot numbers during 1700￣1993 are analyzed by wavelet transform.A new modeling method which is used in nonlinear nonstationary time series is presented,which is simple and practicable.The results show that the advantages of the application of wavelet transform to the prediction of the nonlinear nonstationary time series are very outstanding.It is particularly suited to long term prediction.
出处
《中国科学院研究生院学报》
CAS
CSCD
1998年第1期68-73,共6页
Journal of the Graduate School of the Chinese Academy of Sciences
基金
国家自然科学基金
中国科学院天文委员会基金
关键词
太阳
黑子数
小波变换
时-频域模型
sunspot numbers,wavelet transform,nolinear nonstationary process,linear prediction
