测量空间 meaning in Chinese
measurement space
Examples
- As other predictive filters , state space is recursively got from measure space with system model by using the particle filter
这种滤波和其他预测性滤波一样,可以通过模型方程由测量空间递推得到状态空间。 - Our research aims to research and design an spectrometer - identificator to simultaneously or separately detect the fluxes and spectra of protons , alpha particles , oxygen and iron ions distributed in space
为了满足当前空间环境的探测需要，需要研制一台全频道的空间带电粒子探测谱仪，该谱仪能够同时测量空间质子、粒子和重离子的能谱和通量分布。 - The basic principle goes like this : taking the multivariate data during the complex production process as input - output information to study , extracting the variables which plays an important role on production result , and then expanding to high - dimension measurement space
基本原理是：将复杂生产过程的多元数据作为输出一输入信息进行研究，从众多的变量中抽取出对生产结果起重要作用的变量，并依此张成高维测量空间。 - It includes the single - plane calibration method for the 2d inspecting plane , and the twin - plane calibration for the 3d inspecting object . some experiments about those two methods are shown in this paper . fourthly , explain the errors in d & m of the camera lens , which will cause non - liner distortion in imaging
( 3 )根据实际视觉测量标定中的简洁性要求，本文提出一类完全基于平面的标定方法，其中不仅有专门针对2d测量空间的单平面标定法，还有能对整个3d实物空间成像进行标定的双平面标定方法。 - The applied of demodulation with esa is advanced with which diagnosis precision has been improved , and real time diagnosis and accuracy ratio are satisfied on bearing production line . automatic classification model using integration of adaptive wavelet transform network and self - organizing feature map network is introduced . the strong suits of wavelet and neural network are made use of in this model and bearing fault classification is realized automatically
第三章提出了一种自适应小波变换网络与自组织特征映射网络( self - organizingfeaturemapnetwork - somn )集成的故障自动分类模型，该模型把小波的时频局部化优点与神经网络的自学习、非线性映射能力有机结合起来，把高维测量空间中的非平稳信号复杂信息映射到易于分类的二维空间，实现了轴承故障自动分类。