| 1. | Solving space geometry problems with the mode of revolving on parallel axis
用平行轴旋转法解决空间几何问题 |
| 2. | A method of the rotate - exchange surface on illustration space geometry problem
图解空间几何问题的一种旋转换面法 |
| 3. | The application of three - dimensional technology on numerical solving of space geometry
三维技术在空间几何数值求解中的应用 |
| 4. | It was proven to be feasible that pore fractal dimension can be used to quantitatively study the complexity of pore space geometry of sandstone reservoir
验证了采用孔隙的分形维数定量化砂岩储层孔隙的复杂程度的可行性。 |
| 5. | Using this theory fractal pore space geometry of rocks was discussed . at the same time the methods were given to determine the fractal dimension of pore space
利用分形几何学的基本理论探讨了岩石孔隙的分形结构及孔隙分形维数的确定方法。 |
| 6. | 2 . some theory of high - dimension space is introduced and a new feature extraction method avito correlation - angle is presented based on high - dimension space geometry . 3
介绍了高维空间几何学的一些基本定义，并在此思想上，提出了自相关夹角法对语音信号进行特征提取。 |
| 7. | In this paper , the measurement methods based on space geometry theory and the structure of the system are introduced . the line - correspondences method is used to calibrate the camera systems
在此基础上，提出了一种基于人工神经网络的多线阵像机系统标定与3d定位方法，并应用于该视觉空间定位系统。 |
| 8. | This thesis analyzes circle array ’ s performance and employs different arithmetic accordingly ; transforms circle arrays to line arrays by mode transform ; analyzes the space geometry antenna ’ s pattern function
本文分析了圆形阵列的性能,在此基础上应用了不同的算法;利用模式转换将圆形阵列转化成为虚拟的线阵,并且分析了共形天线的方向图函数。 |
| 9. | The space geometry is open and negatively curved as a saddle . if the density equals to the critical density exactly , the space is flat as a sheet of paper . if the density is greater than the critical density , the space geometry is closed and positively curved as a ball
为负马鞍形的开放宇宙假若密度和临界密度相等，空间曲率为零，宇宙如一张白纸般平坦假若密度高于临界密度，它则是一个空间曲率为正球形的封闭宇宙。 |
| 10. | Based on high - dimension space geometry , every speech sample is looked as a point in space . then the speech sample point is extracted feature by lpc , mel - scaled cepstrum analysis or auto correlation - angle . their feature is looked as a point too
基于高维空间几何的思想，把每个样本点和其特征值看作高维空间中的一个点，用线性预测分析、 mel倒谱分析和自相关夹角法对样本点提取特征，然后用点在空间的投影来判别语音和非语音，根据判别结果来比较三种特征提取方法的优劣。 |
