| 1. | Law of similarity transformation
相似变换定律 |
| 2. | 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 |
| 3. | Then results coming from different subset are brought into a common coordinate frame by similarity transformations
这时由每个子序列得到的不同部分的重建结果是相对于不同的坐标系而言的。 |
| 4. | " similarity transformation methods in the analysis of the two dimensional steady compressible laminar boundary layer , " by yeunwoo cho and angelica aessopos ( pdf ) ( courtesy of yeunwoo cho . used with permission
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| 5. | Analyzing the characteristics of the time - series data of horizontal displacement from the continuous gps network in time and frequency domain , the similarity transformation is conducted in order to give prominence to the local deformation by selecting a few stations in the eastern china
摘要对gps基准站连续观测水平位移时间序列数据的时频特征进行了分析，为了突出局部变化的信息，在中国大陆东部选取一组参考点进行相似变换。 |
| 6. | This paper investigates construction of orthogonal multiwavelets and a condition for approximation order of m - band multiscaling functions in frequency domain , introduces m - band scale similarity transformation ( mst ) . one can increase the approximation order of multiscaling function with help of mst
本论文研究了正交多小波的构造， m带多尺度函数的逼近阶频域条件，引入m带尺度相似变换（ mst ）并利用其提高m带多尺度函数的逼近阶。 |
| 7. | The original image is divided into non - overlap square domain block collection and range collection , which is fourfold the domain block . to every domain block , the best self - similarity transformation is gained by matching the found best similar range block , the parameters of the gained best domain block ' s transformations are the image compression code . the fourth chapter discusses and implements fractal image compression method based on region partit ion
在第三章中讨论并实现了基于子块划分的分形图象压缩方法，这种方法将原始图象划分为不重叠的正方形值域块集和四倍大小的正方形定义块集，对于每一个值域块，在定义块集中通过最佳匹配找出最相似的定义块，通过匹配得到值域块的最佳自相似变换，对所在值域块的最佳自相似变换参数编码实现图象压缩。 |
