| 1. | Method of computing correlation dimension based on wavelet packet transform
一种基于小波包变换的关联维数计算方法 |
| 2. | Correlation dimension of pressure fluctuation in gas - liquid - solid three phase co - current up - flow system
固三相流中压力波动信号的分维估算 |
| 3. | Application of correlation dimension in fan fault diagnosis based on wavelet coefficient region relativity
基于小波系数区域相关性的关联维数在风机故障诊断中的应用 |
| 4. | Correlation dimension and information entropy for the time series is calculated at same time with a visual basic program which adapt to deal with chaotic problems
本文编制的同时回归出时间序列的关联维及信息熵的vb程序，对处理混沌问题具有一定的通用性。 |
| 5. | In this paper , the correlation dimension is taken as the chaos identification evidence and the method is used to see whether the given fault gear signal has chaos characteristics
应用替代数据法，以关联维数作为混沌判据，对故障齿轮信号进行了混沌特性判别。 |
| 6. | The chaotic invariants of measured time series of dams such as correlation dimension , the lyapunov exponent and the kolmogorov entropy , are calculated
对大坝观测时间序列进行了相空间重构，计算其混沌特征量，即吸引子维数（关联维数） 、 lyapunov指数和kolmogorov熵。 |
| 7. | In addition , the author proved and discussed through the relations of the length - radius dimension model , spatial correlation dimension model , transportation pattern and urban spatial shape
此外，借用长度?半径维数模型与关联维数模型对交通方式与城市空间形态之间的关系进行了论证和探讨。 |
| 8. | General dimension and its chart were calculated and painted based on general dimension . box dimension , information dimension and correlation dimension can be extracted from general dimension series
以广义维数为基础，计算和绘制了广义维数及其谱图，从广义维数中可提取盒维数、信息维数、关联维数。 |
| 9. | The results show that the correlation dimensions are different in different current conditions . it is indicated that sediment - laden and aerated flows are not completely stochastic , possessing its intrinsic order
结果表明，不同水流状况具有不同的关联维数，含沙掺气水流运动并非完全随机的，而是具有内在有序性。 |
| 10. | Different correlation dimensions explain the differences of the dynamical mechanism and systematic complex level . different pressure fluctuation signal sequences have different fractal characteristics . 4
计算得出的不同关联维数反映出不同脉动压强信号序列所具有的不同分形特征，说明动力形成机制、系统复杂程度的差异。 |
