LI Xin-xin. Ship Noises Classification Based on Hilbert-Huang Transform[J]. 2014, 19(3): 69-73.
DOI:
LI Xin-xin. Ship Noises Classification Based on Hilbert-Huang Transform[J]. 2014, 19(3): 69-73.DOI: 10.15938/j.jhust.2014.03.025.
Ship Noises Classification Based on Hilbert-Huang Transform
摘要
将希尔伯特-黄变换(HHT)用于船舶声信号特征提取中
利用HHT对实录船舶辐射噪声进行特征提取后
利用神经网络进行分类.研究表明希尔伯特-黄变换方法对于信号的时频特性具有较高的分辨能力
适用于水声非平稳信号的分析.与传统时频分析方法相比具有很强的自适应特性和较好的时频聚集性
时频分辨力高于小波变换.结果表明对于船舶声信号识别
希尔伯特-黄变换方法是一种有效的特征提取方法. 更多还原
Abstract
The Hilbert-Huang Transform ( HHT) was applied to extract features of ship noises. HHT has higherresolving power on time-frequency characteristic than methods based on traditional time-frequency analysis. HHTmethod is suitable for underwater acoustic non-stationary signal analysis,and it has good adaptive and time-frequen-cy concentration characteristics. The results show that HHT is an effectively method to extract characteristics of ship noises.