线谱是船舶辐射噪声中重要的特征信息，线谱提取是水中目标识别的关键技术。
Line spectra provide significant information in ship-radiated noise. Extracting spectral lines from ship-radiated noise is a key technique in identification of underwater targets.
本文提出了一种基于能量判据和子频带综合的线谱序列提取方法，并利用实测数据进行了比较分析。
A new method to extract line-spectrum series based on energy criterion and sub-band synthesis is presented in this paper, and verification is further investigated with simulated and measured data.
首先是舰船辐射噪声特征量的提取，包括舰船总声源级的估计和螺旋桨轴频线谱的提取。
The first part is about the features extraction, including the estimation of source level of the ship-radiated noise and the line extraction of the rotation frequency of propeller noise spectrum.
它适用于在噪声或振动谱上提取线谱特征和压缩数据量，是利用谱特征进行模式识别的有效预处理手段。
It can be applied to extract line spectra features and reduce the amount of data in noise and vibration spectra.
本文旨在通过以上研究，能够对声矢量信号中的线谱成分有充分的认识和提取到尽可能多的特征，从而进一步提高舰船目标识别率。
This paper aims to get enough knowledge of line spectrum in acoustic vector signal and extract as more features as possible so as to improve the recognition-rate of targets.
然后研制了一个简单高效的线谱识别模糊专家系统，根据提取出的线谱特征，进一步剔除噪声点。
And then, the above features are used by a simple and efficient fuzzy expert system for line-spectrum recognition, which is newly developed for picking out noise points.
利用目标线谱与自噪声线谱在时间域和空间域上的差异，采用时空联合手段研究舰船噪声中目标线谱的提取方法。
This paper deals with extraction of spectral lines of underwater targets in background noise using a space-time integral method.
利用目标线谱与自噪声线谱在时间域和空间域上的差异，采用时空联合手段研究舰船噪声中目标线谱的提取方法。
This paper deals with extraction of spectral lines of underwater targets in background noise using a space-time integral method.
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