摘要
文中提出了基于时间频率分布联合要素的非平稳时间序列信号的分类方法。其结果显示：对于非平时间序列信号，基于时间频率分布联合要素的分类法比单独基于时间或频率分布要素的方法处理效果好。
In this Paper, a classification method for non-stationary time series based on the joint moments of time-frequency distributions is presented The results show that a classification algorithm using the joint moments of time-frequency information can improve performance over time or frequency-based features alone for classification of non-stationary time series.
出处
《计算机工程与设计》
CSCD
2001年第2期20-22,共3页
Computer Engineering and Design
