基于小波变换的舰船辐射噪声特征线谱检测
Detection of Characteristic Line Spectrum from the Ship Radiated Noise Based on Wavelet Transform
李玉潇 1刘纪元 2陈新华2
作者信息
- 1. 中国科学院声学研究所 水声工程中心 北京 100190;中国科学院大学 北京 100049
- 2. 中国科学院声学研究所 水声工程中心 北京 100190
- 折叠
摘要
将小波变换应用于舰船辐射噪声的特征线谱检测.首先根据舰船辐射噪声的特性设计出特定频率响应的FIR滤波器,仿真出舰船的辐射噪声.在预处理过程中运用改进的小波阈值方法对舰船辐射噪声信号进行去噪.最后通过小波变换对去噪处理后的信号进行奇异性分析,实现特征线谱的检测.结果表明,采用小波变换对舰船辐射噪声特征线谱进行检测,可以取得较好的效果.
Abstract
In this paper,wavelet transform is applied to the detection of characteristic line spectrum from ship radiated noise.First of all,ship radiated noise is simulated by FIR filter.The FIR filter should have a specific frequency response to match the required spectrum of ship radiation.After that,an improved wavelet threshold de-noising method is used for the ship radiated noise signal de-noising in the pre-processing step.Finally,the singularity analysis is used for the signal after de-noising to implement the line spectrum detection.The simulation results show that using wavelet transform to detect the characteristic line spectrum can obtain an effective outcome.
关键词
小波变换/舰船辐射噪声/特征线谱/奇异性检测Key words
wavelet transformation/ship radiated noise/characteristic line spectrum/singularity detection引用本文复制引用
出版年
2016
NETL
NSTL
维普
万方数据