摘要
非参数特征提取方法虽然不需要用任何参数表达的基函数,但在很大程度上却依赖于模板信号的选取。模板信号与实际信号逼近的程度,直接影响了提取结果的精度,这严重阻碍了该方法的广泛应用,因而模板信号的选取成为非参数波形提取中的一个关键问题。利用非参数特征提取方法前一次提取的结果,引入自适应调节模板信号的算法,使得该方法不再过多地要求模板信号具有信号的先验知识,提高了该方法在应用中的柔性和适应性。仿真信号表明了所提方法的可行性和有效性。研究结果为非参数特征提取方法的应用提供了一条新途径。
Nonparametrie feature extraction does not need any parametric basis function,but the extracted precision is affected by the choice of the template signal,which restricts the application of this method.A new method of choosing template signal for nonparametric feature extraction is proposed in this paper.The primary principle of the proposed method is to adjust the template signal with the last extracted result adaptively which makes the template signal is no more require a prior signal information and felicitates nonparametric feature extraction for a wide variety of applications.Simulated result shows that the method is effective and practical.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第18期75-77,共3页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.50475087)
陕西师范大学校重点基金项目。
关键词
非参数特征提取
模板信号
自适应
nonparametric feature extraction
template signal
adaptive
