基于小波变换的特征提取方法分析

Analyses of Feature Extraction Methods Based on Wavelet Transform

论文提出并讨论了四种基于小波变换的特征提取方法：基于小波变换的棋极大值特征、基于小波分解的能量特征、基于小波包分解的摘特征以及基于适应性小波网络的特征提取方法，阐述了各方法的基本原理及实现过程，并将其用于水声信号的特征提取，通过分类结果比较，分析了各种方法的特点及适用性．

This paper presents four feature extraction methods based on wavelet transform : the maxima feature ,the energy feature the entropy feature based on wavelet packets analyze and the wavelet network feature The ba sic principle and realization process of every method are detailed The features and applicability of every methodare analyzed through the analysis of classifying results