摘要
特征提取是信号识别与分类中的重要一环,对提高系统的准确、改善系统性能起着关键的作用。利用小波包变换对信号进行特征提取是近年来发展起来的一种新的特征表示手段,在许多领域中已获得了成功的应用。论文首先回顾了采用小波包变换对信号进行分解的过程,并在此基础上研究了基于小波包变换的特征表示与提取方法。
Feature extraction plays an important role for improving accuracies in signal classification and recognition.Ex-tracting features by wavelet packets is a new way for signal representation developed these years,and great success has been achieved in many fields.This paper recalls the process of decomposition with wavelet packets,then presents the methods for feature representation and extraction.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第6期97-99,131,共4页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:3930070)
