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Home > chinese-english > "division algorithm" in English

English translation for "division algorithm"

带余除法
辗转相除法


Related Translations:
horizontal sync algorithm:  水平同步编码
divisions:  分类
division controller:  分部主计长
anhermonic division:  非调和分割
trial division:  审判庭试除法
codification division:  编篡司编纂司
lyot division:  利奥缝隙
welfare division:  福利署
protocol division:  礼宾司
industrial division:  工业司
Example Sentences:
1.Generally speaking , division algorithm and factor resolution can be used to find the greatest common factor of the two multinomial
摘要求两个多项式的最大公因式,可以用辗转相除法及分解因式法。
2.In this dissertation , the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied , in succession the clutter suppression technologies have been researched . firstly , the classic nonparametric algorithm has been analyzed in detail and systematically , for it ’ s weakness that it cannot remove the non - stationary clutter ideally , kalman filter algorithm for clutter suppression in 2d image signal has been built . secondly , fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm , new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了经典的非参数法,对于四种具有代表性的核,从前述的三个性能评价方面做了分析和对比,指出了其速度快的优点和对非平稳图像适应性差的弱点,针对非参数法的弱点,重点研究了对非平稳图像适应良好的卡尔曼杂波抑制技术:建立了非平稳图像的类自回归模型,在此基础上建立了二维卡尔曼滤波基础的两个方程:状态方程和测量方程;建立了非平稳图像准平稳区域快速划分算法:基于四叉树法的有限分裂合并算法;二维空间的基于k排序的滤波路线算法,突破了空域滤波路线上区域相邻的限制;在这些研究的基础上实现了快速卡尔曼估计,实验验证了该方法相对逐点卡尔曼估计可以提高运算速度三倍左右;杂波抑制结果表明传统的高斯性检验并不适合卡尔曼估计后的残余图像,由此建立了残余图像的双参数拉普拉斯模型,实验表明其可以完好的吻合残余图像的概率密度曲线。
3.Being the focus and difficulties of image processing technology , image segmentation is the basis for information technology organizations and reprocessing , and becoming the achievement of automatic identification and understanding of the images essential process , therefor the division algorithm for image research is of great significance
作为图像处理技术中的重点和难点,图像分割技术是在图像预处理技术的基础上对信息的组织与再加工,是实现图像自动识别和理解的必不可少的过程,因此,对图像分割算法的研究具有重要的意义。
Similar Words:
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