基于自适应小波的光频数据分类

广东工业大学学报 ›› 1999, Vol. 16 ›› Issue (3): 52-56.

基于自适应小波的光频数据分类

佛山科学技术学院电子系!广东佛山528000；西安交通大学系统工程研究所!陕西西安710049；

出版日期:1999-10-02 发布日期:1999-10-02

Spectral Data Classification Based on Adaptive Wavelest

( 1 . Dept.of electronic engineering , Fo Shan Institute of Science and Technology , Foshan 528000 , China ;2 . System Engineering Institute of Xi′an Jiaotong Univer

Online:1999-10-02 Published:1999-10-02

摘要/Abstract

摘要： 利用一种基于自适应小波的新方法来减少变量维数且保留最佳的分类信息，即利用ｍ带小波变换将原始数据进行特征提取，并给出了一种小波基构造、特征提取及优化分类准则的算法，效果令人满意．

周维忠；赵海洋；孙国基；冯心海； . 基于自适应小波的光频数据分类[J]. 广东工业大学学报, 1999, 16(3): 52-56.

Z H O U Wei zhong1 , Z H A O Hai yang1 , S U N Guo ji2 , F E N G Xin hai1. Spectral Data Classification Based on Adaptive Wavelest[J]. Journal of Guangdong University of Technology, 1999, 16(3): 52-56.

参考文献 2

[1] Radka Turcajová,Jaroslav Kautsky. Shift products and factorizations of wavelet matrices[J] ,1994

[1] D Coomans,I Broeckaert.Potential pattern recognition in chemical decision. . 1986

[2] H H Szu,B Telfer.Neural network adaptive wavelets for signal representation and classification. Optical Engineering . 1992

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed