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component extraction中文是什么意思

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  • 例句与用法
  • Harmonic component extraction from a chaotic signal based on emd method
    方法的混沌信号中周期分量的提取
  • Applications of adaptive principal components extraction algorithm in the feature extraction of human face
    自适应主元提取算法在人脸图像特征提取中的应用
  • Existing temporal component extraction method uses multiple regression analysis ( mra ) after the application of temporal pca to estimate the amplitude of resultant components and thus made it up
    现有的时间成分提取法在进行时间pca之后,利用重回归分析来估计成分的波形和振幅,从而弥补了这一缺陷。
  • Foreground area is extracted by adaptive threshold method , the object is searched by extending the connected components extraction method , the object is recognized based on the geometrical character
    以自适应门限值提取前景区域,通过扩展的连通分量提取算法实现了目标的快速搜索,最后基于几何特征对目标加以识别。
  • To solve this problem , it ' s necessary to develop a spatial component extraction method so that the spatial component topography mapping sequence along the time course could be easily got into hand , even in a dense electrode array study
    为了解决这一问题,在采用密电极阵进行的研究中也能够轻易得到随时间变化的空间成分拓扑图序列,我们有必要设计开发新的空间成分提取法。
  • It mainly includes following aspects : in this paper , firstly implication of wavelet analysis in signal harmonic component extraction is presented in detail , and on this foundation signal given frequency band component extraction method is proposed . then we investigate frequency aliasing phenomenon , reason why frequency aliasing phenomenon is easy happened when wavelet is implied in field of motor fault diagnosis , and frequency bands where frequency aliasing phenomenon is easer happened , and put forward approved morlet wavelet analysis method which can effectively alleviates frequency aliasing phenomenon . third we set up vibration signal detected system , design experiments to obtain three groups of fault signals : eccentricity fault , mixed fault of eccentricity plus mild rub , mixed fault of eccentricity plus moderate rub , and process these data using analysis method proposed in this paper
    首先对论文的选题以及相关背景进行了探讨,并对相关的小波基础理论进行了阐述,主要针对感应电动机的偏心故障和偏心+碰摩复合故障形式及相关的应用算法进行了详细探讨,主要工作内容包括下面几个方面:在论文中,首先对小波分析在信号的谐波分量提取中的应用进行了研究,在此基础上,提出了信号的特定频带成分的提取方法;研究了小波分析的频域混叠现象,探讨了小波分析应用于电机故障诊断领域时易发生频域混叠现象的原因,以及混叠现象较易发生的频带,提出了可以有效减轻频域混叠现象的改进的morlet小波分析方法;搭建了振动信号检测系统,设计实验采集得到三组故障数据:偏心故障,偏心+轻微碰摩复合故障,偏心+中度碰摩复合故障,并对这些数据应用本文提出的分析方法进行信号处理,提取出的特征参数可有效区分这两种故障形式;研究了基于matlab和labview的混合编程方法,完成了电机故障检测系统的软件开发。
  • This study is backed by the research project of stimulus onset asynchrony ( soa ) detection , a newly devised multisensory erp experimental method . on the basis of spatiotemporal pca and existing temporal component extraction method , a spatial component extraction method was designed and materialized . detailed algorithm description , software development introduction and application example discussion were all presented
    本研究以一种新型的多感知erp实验方法?异步刺激检测法( soadetection )的研究项目为背景,以时空pca与现有的时间成分提取法为基础,进行了空间成分提取法的算法设计,并做了软件开发及应用分析。
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Last modified time:Sun, 10 Aug 2025 00:29:56 GMT

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