摘要
对随机时间序列的特征提取与聚类分析,提出了基于分类距离标准的小波包基能量方法。该方法应用小波包变换提取信号各子空间的能量,以能量分类距离标准选取最佳小波包基,最佳小波包基上距离系数大的能量作为特征值。实验结果表明此方法比固定尺度小波包能量法有着更好的分类效果,并且特征值维数低。
A method that perform cluster analysis and contract feature to seldom timeseries is puts forward,which based on the classification distance criterion and wavelet packet(WP)bases.It applies WP translate to get energy from subspace and select the best WP bases with classification distance criterion.The energy has bigger distance coefficient in best WP bases is the feature.Experiments show that this method has advantage to fiexd-scale WP energy method and had lower dimension of feature value.
出处
《计算机应用与软件》
CSCD
北大核心
2005年第4期21-22,55,共3页
Computer Applications and Software
基金
广东省科技攻关项目(编号:A1020103)。
