| 1. | Geometric figures of similar transtormation
相似变换下的几何图形 |
| 2. | Law of similarity transformation
相似变换定律 |
| 3. | The similarity transformation on fractal color image and the related compression algorithm
分形彩色图像压缩中的相似变换及其压缩算法 |
| 4. | The biorthogonal multi - scaling vector with higher approximation order was constructed using tst
利用双尺度相似变换构造了高逼近阶的双正交尺度向量。 |
| 5. | Moreover , the similar transformation condition for the apertured fgbs is obtained
此外，通过对该传输公式的分析得到了截断平顶高斯光束的相似变换条件。 |
| 6. | To give a general method on how to find the similitude transformation matrix - matrix synthetic division
摘要给出了求相似变换矩阵的一种一般方法矩阵的综合除法。 |
| 7. | Third , the multiwavelet and tst ( two - scale similiary transform ) are discussed and examples are presented to account for these algorithms
讨论了多小波和两尺度相似变换，给出具体的算例。 |
| 8. | Then choosing suitable transform matrix , and applying tst to it , the satisfactory approximation order of the multi - scaling vector was achieved
选择适当的变换矩阵，对尺度向量进行双尺度相似变换，可以使其具有满意的逼近阶。 |
| 9. | Finally , global optimization is applied to minimize the back projection errors , which can refine the data and produce a jointly optimal 3d structure
我们将它们通过一组相似变换转移至同一坐标系下，就得到了物体整体的三维结构。 |
| 10. | Last but not least , subdivision transformations are introduced in chapter five , the resemblance of subdivision transformations are also proved
第五章介绍广义ball曲线的快速细分算法，并由此推导出广义ball曲线的细分变换为相似变换。 |
