一种基于一维小波包分解的信号特征提取方法  

Method of Signal Feature Extraction Based on One-dimensional Wavelet Packet Decomposition

作　　者：庄瑞[1] 

机构地区：[1]昆明船舶设备研究试验中心,云南昆明650051

出　　处：《电声技术》2015年第10期52-56,共5页Audio Engineering

摘　　要：主要针对主动声呐的水中目标回波信号,使用一维二进离散小波包分解技术进行信号的特征提取,研究了信号特征的提取方法和分解节点与实际频带对应列表的计算方法,并通过不同的仿真实验对特征提取算法进行了验证和分析,旨在为基于信号处理提取水中目标回波信号的特征提供一种新的方法和思路。One -dimensional binary wavelet packet decomposition technology is applied to extract signal feature aim at the target acoustic echo signal in water of active sonar in this paper. The signal feature extraction method and the calculation of order list about decomposition node with frequency band are studied, which are verified and analyzed by different simulation experiment. All of studies designed to support a new technique and thought for the feature extraction of the target acoustic echo signal in water, which based on signal processing.

关 键 词：小波包分解 水声信号处理 特征提取 

分 类 号：TN912[电子电信—通信与信息系统]