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阶矩阵的英文

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"阶矩阵"怎么读用"阶矩阵"造句

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  • n-matrix

例句与用法

  • A new scheme to divide odd - sized matrices for the winograd ' s algorithm
    矩阵乘法算法用于任意阶矩阵时的一种新处理方法
  • The common formula of fractional linear recursive series solved by the power of second order matrix uniformly
    用二阶矩阵乘方统一求分式线性递推数列的通项
  • Then a higher order lyapunov matrix equation can be transformed into some lower order matrix equations with unidirection coupling by using scalar lyapunov function approach
    从而,利用标量lyapunov函数将高阶矩阵lyapunov方程化为若干个单向解耦的低阶矩阵方程。
  • Compared with the traditional methods of window functions and remez optimal algorithm , the optimum algorithm , the optimum design method in the paper need not compute inverse matrix , thus overcoming the difficulty to compute high - order inverse matrix in remez optimal design method
    与传统的窗口函数法和雷米兹优化设计方法相比,其优化设计方法不需要计算矩阵的逆,因而克服了雷米兹优化设计方法求高阶矩阵逆的困难。
  • In chapter 4 , we research a way how to generate curve by discrete points . the way uses several low - order bezier curve to substitute one high - order bezier curve in order to avoid computing high - order negative matrix . the curve produced by this way has good smoothness
    第四章对由离散点构建曲线进行了研究,绕过高阶矩阵求逆,把由k个低阶的bezier曲线拼合产生的复合曲线来代替单一的高阶bezier曲线,并保证曲线之间的光滑过渡。
  • Based on the intensity type fiber optic modulation technique , the principle of fiber - optic sensor cad is mainly discussed in detail . for example , the model of sensing units are founded , the model is digitized , the transformation of space and image is described by four - dimensional matrix , and software is designed
    本文着重讨论了建立传感单元模型,模型数字化,四阶矩阵表述形式下的空间和成像变换,软件的编制方法等几方面关系到光纤传感cad的具体理论问题。
  • Its basic thought is that using amass of simple classifier which has common classified ability and through thecertain method , at last , constitutes a very strong classifier which has strongclassified ability carries on many times with this strong classifier to the goalpictures , finally confirmed the pictures whether includes the human face andits the general position this algorithm uses a characteristic which called haar characteristic thischaracteristic is one kind of simple rectangular characteristic , because it issimilar with the haar wavelet , so called haar characteristic this kind ofcharacteristic is composed of two or many rectangles that are congruent andneighboring there are white and black kinds of rectangles in the characteristictemplate , and defines this characteristic template characteristic value as thewhite rectangle this characteristic value is that the difference between white
    本文主要研究基于haar特征的adaboost算法。由于以前提出的特征中包含的人脸基本特征比较少,导致检测时间过长。本文根据人脸基本特征的分布提出一种新的特征,新特征覆盖了人的眼睛,鼻子和嘴,它由haar特征中的一些简单特征组合而成,形状类似卷积中用到的3阶矩阵,这种新特征检测的结果是可以检测到人脸,时间上得到优化。
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