南京大学学报（自然科学版）Issue(z1)：102-106,5.DOI:10.13232/j.cnki.jnju.2015.07.020
EMD 在目标声信号特征提取中的应用研究
A feature extraction algorithm of acoustic target based on empirical mode decomposition
赵天青 1梁旭斌 1许学忠 1蔡宗义 1孙迪峰1
作者信息
- 1. 西北核技术研究所声能工程研究中心，西安，710024
- 折叠
摘要
Abstract
The purpose of this work is to study the feature extraction algorithm of moving vehicles based on signal processing methods.Empirical Mode Decomposition(EMD)is a decomposition algorithm which is used to analyze nonlinear and time-varying signal.Different from the traditional signal analysis method,the decomposition is data-driven and self-adaptive.A feature extraction algorithm based on Empirical Mode Decomposition(EMD)for vehicle classification is studied in this paper.For a long time,feature vectors of ground targets have been extracted by assuming signal short-steady,which acquired short-state features of the target signal.An improved algorithm of energy ratio coefficients extraction based on EMD is proposed in this paper,which is suitable to analyze nonlinear and non-stationary signals.The validity of the algorithm is proved by a test adopting BP network with data sampled from three types of vehicles.Results manifest that the algorithm can accurately characterize the band-energy feature of acoustic targets using the dynamic frequency after EMD decomposition,and get more information for recognition system.关键词
经验模式分解(EMD)/声目标/特征提取Key words
empirical mode decomposition(EMD)/acoustic target recognition/feature extraction分类
社会科学引用本文复制引用
赵天青,梁旭斌,许学忠,蔡宗义,孙迪峰..EMD 在目标声信号特征提取中的应用研究[J].南京大学学报（自然科学版）,2015,(z1):102-106,5.
