| 1. | The method of preserving edge smoothing
保存边界的图象平滑方法 |
| 2. | Analysis of communication software reliability based on double exponential smoothing technique
基于双指数平滑方法的通信软件可靠性分析 |
| 3. | In this paper , a new smoothin approach is presented , in which a searching method is used to get a preferable accurate pitch contour
本文提出了一种通过搜索来得到更精确的基音轮廓的新的基音平滑方法。 |
| 4. | 3 . we expatiate on the theoretical analysis on noise manifold learning . based on that , we propose local neighborhood smoothing method , and make some comparisons with other noise manifold learning methods
3 .给出噪声流形学习的理论分析,并提出局部邻域平滑方法,与当前出现的几种噪声流形学习方法做出对比。 |
| 5. | Single exponential smoothing technique and double exponential smoothing technique were studied and the reliability of a concrete communication software was analyzed and predicted by using these two models
摘要阐述了单指数平滑方法和双指数平滑方法，并用这两种可靠性模型对一通信软件系统的可靠性进行分析预测。 |
| 6. | The classic approaches for fundamental frequencies smoothing , such as linear smoothing , median smoothing and linear interpolation , can not work well in the case of that fundamental frequency is not detected correctly and several continulus frames
传统基音的平滑方法：线性平滑、中值平滑和一般的线性插值方法都不能很好地处理连续的基音频率有随机错误点的情况。 |
| 7. | The author proposed a new method called gliding adaptive smoothing in this thesis , which avoided the crossing of isolines efficiently and removed corners of isolines as well . these phenomenons usually occur unexpectedly in conventional processing
在等深线平滑问题中，提出了一种处理复杂形状曲线的自适应动态平滑方法，解决了常规曲线平滑方法在处理复杂的等深线时出现的若干问题。 |
| 8. | Through comparing the prediction result with that of traditional software growth reliability models , it could be seen that the double exponential smoothing technique not only was simple without complicated computation but also was able to provide more accurate prediction
通过同传统软件可靠性增长模型的预测结果进行比较，可以看出双指数平滑方法简单，没有复杂的数学计算，而且对通信软件的失效行为的预测更加准确。 |
| 9. | According to the characteristics of the work condition is wretched and the signals are affected seriously by kinds of random noise etc . , the data smoothing method is used in the pressure and flow signal processing , it reduces the effect of the random noises , and has a good result
根据液压系统工作环境恶劣，各种随机干扰对检测信号影响大等特点，将数据平滑方法用于压力、流量信号检测数据处理中，有效地减小了各种随机噪声的影响，具有很好的效果。 |
