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解卷的英文

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"解卷"怎么读用"解卷"造句

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  • uncoiling

例句与用法

  • Test method for unwinding force of pressure sensitive adhesive tapes at low speed
    压敏胶粘带低速解卷强度测试方法
  • No52 : high - resolution electron microscopy and its application , f . h . li , j . electron microsc . technique , 7 ( 1987 ) 237 - 254
    高分辨电子显微学中的像解卷,李方华,电子显微学报, 5 ( 1986 ) 124 。
  • Applied on opening of medium to heavy cartons , double corrugated paper cartons . it has a super high speed of untying , suitable for automation procedure , also suitable for incline opening
    用于中等至重型纸箱,双层瓦楞纸箱的撕口,适用于工业自动化工序,具极高的解卷速率,同样试用于斜面撕口。
  • By means of the wavelet transformation the deconvolution is done in the time domain . the dispersive properties of the elastic wave within the impacts acted are analyzed , and with the nonlinear optimization method concerned the impact location is identified
    利用小波变换作时域内的解卷积计算,分析了结构在冲击载荷作用下的弹性波的散射特性,结合非线性优化方法实现了载荷冲击位置的识别。
  • The original infomax is only applied in the instantaneous mixture and in the single channel blind deconvolution . this thesis applies the idea to blind sources separation in multiple channel convolutive mixture . through simulation , we can show that the algorithm has good performance
    Infomax算法适用于瞬时混合情况下的盲分离和单通道盲解卷积问题,本文将infomax算法推广到多通道卷积混合,对算法进行仿真,取得了不错的效果。
  • The problem discussed in this paper is to separate two ( or more ) input signals from observed signals which are generated by passing input signals through diffrent unknown multi - input multi - output linear systems . it is proved that the input signals can be separated when they are independent identitically distributed ( i . i . d ) signals . a new algorithm for multi - input multi - output blind deconvolution via maximum entropy is presented which needs no information about the input signals and mixing filters
    本文研究的问题是从观察信号中分离出两个(或者更多个)输入信号,其中每一组信号分别通过不同的未知多输入多输出线性系统.本文证明了当输入信号是两两相互独立的独立同分布信号时可以分离出输入信号,并导出了基于最大熵的多输入多输出盲解卷新算法.这个算法不需要任何关于输入信号和混合滤波器的先验知识
  • Finally , this chapter emphasizes the importance of auxiliary processing in sar imaging , indicates that autofocusing is essentially a problem of blind deconvolution , and that speckle reduction is a problem of imagery restoration . no additional assumption and limitation , the inverse problem on autofocusing or speckle reduction can not be solution
    同时,介绍了sar图像自聚焦和相干斑抑制处理及其发展现状,指出自聚焦过程实际上是一个盲解卷积问题,而相干斑抑制是一个图像复原问题,对这类逆问题的求解需要附加假设或限定。
用"解卷"造句  
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