首页 | 本学科首页   官方微博 | 高级检索  
     检索      

水下运动目标动态谱特征提取与增强的现状与展望
引用本文:郭业才,赵俊渭.水下运动目标动态谱特征提取与增强的现状与展望[J].舰船科学技术,2006,28(5):5-8,65.
作者姓名:郭业才  赵俊渭
作者单位:安徽理工大学,安徽,淮南,232001;西北工业大学,陕西,西安,710072;西北工业大学,陕西,西安,710072
摘    要:介绍了国内外关于水下运动目标动态谱特征提取与增强的相关函数与功率谱方法、自适应谱线增强方法、小波变换方法、基于神经网络的方法、混沌动力学与分形理论、高阶统计量方法等主要方法及研究成果,分析了各种方法的主要缺陷,指出了在所有方法中用高阶统计量方法提取与增强运动目标动态谱特征是最值得深入研究的课题。

关 键 词:水下运动目标  动态谱  高阶统计量
文章编号:1672-7649(2006)05-0005-04
收稿时间:2005-06-23
修稿时间:2005-06-23

Actuality and expectation of underwater moving target dynamic spectrum feature extraction and enhancement
GUO Ye-cai,ZHAO Jun-wei.Actuality and expectation of underwater moving target dynamic spectrum feature extraction and enhancement[J].Ship Science and Technology,2006,28(5):5-8,65.
Authors:GUO Ye-cai  ZHAO Jun-wei
Abstract:Main methods of underwater moving target dynamic spectrum feature extraction and enhancement such as correlation function method,adaptive line enhancement method,neural network method,wavelet transform method,chaos dynamics and fractal theory,higher order statistics method,and their research results are introduced and defects of these methods analyzed.It is worthy problem for discussion that underwater moving target dynamic spectrum feature extraction and enhancement be extracted and enhanced using higher order statistics in all introduced methods.
Keywords:underwater moving target  dynamic spectrum  higher order statistics
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号