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1)  passive sonar target recognition
被动声呐目标识别
1.
A method of passive sonar target recognition based on spectrum evaluation;
一种基于谱估计的被动声呐目标识别方法
2)  Passive sonar target recognition
被动声纳目标识别
1.
Feature extraction of targets radiated-noise is the key technique of passive sonar target recognition system.
目标噪声特征提取是被动声纳目标识别系统的关键技术。
3)  passive sonobuoy
被动声呐浮标
1.
Mathematical models for target moving analysis through passive sonobuoy;
被动声呐浮标目标运动分析数学模型
4)  passive sonar
被动声呐
1.
Effect of broadband noise jammer against passive sonar;
宽带噪声干扰器对被动声呐的干扰作用研究
2.
This paper focuses on the research of the de-noising of the passive sonar based on the wavelet.
采用基于小波的降噪理论,研究了水下舰船辐射噪声的被动声呐降噪问题,在舰船辐射噪声的建模与仿真条件下,分析对比了不同方法对舰船辐射噪声信号降噪的效果,并分析比较了利用各种小波基和采用不同阈值条件下对信号进行降噪处理的效果。
3.
Along with the decreasing noise radiation of underwater vessels, it appears a big challenge to the passive sonar.
随着舰船噪声的降低,对被动声呐的检测性能提出了巨大的挑战。
5)  sonar target
声呐目标
6)  acoustic target recognition
声目标识别
1.
The author discusses the key techniques of acoustic target recognition,and introduces noise signal processing,feature extraction with wavelet analysis and two methods of pattern recognition,BP neural network classifier and Support Vector Machine.
本文对声目标识别的关键技术进行研究,探讨用小波分析来进行声信号处理和特征提取,用BP神经网络和支持向量机的模式分类方法来进行分类识别。
2.
Denosing of acoustic signal is a necessary step of acoustic target recognition,which can eliminate the useless component of the acquired signal and decrease the interference from noise to useful signal and improve the Signal-to-Noise Ratio(SNR).
对声信号进行去噪处理,是声目标识别的必要步骤,其目的在于去除声信号中的无用成分,以减小噪声对有用信号的干扰。
补充资料:呐呐
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