| 1. | Using the wavelet de - noising techique , the nosing signals are filtered out and the signals of sharp transition are located
利用小波消噪技术可以滤除信号噪声，提取出信号的突变点。 |
| 2. | For example , the jump points that 8 years converging upon 1 year are in 1958 , 1970 , 1981 and 1998
存在不同尺度周期的突变，如8a尺度辐合到1a尺度的突变点位置为1958 、 1970 、 1981 、 1998年。 |
| 3. | The new denoising method not only preserves signal ' s original features , but also has stronger ability to remove noise
用该方法去噪既能很好地保持信号突变点的原有特性，又具有较强的去噪能力。 |
| 4. | Because of high intelligence of gmdh modeling , the location and the break kind of break - point can be determined automatically , then the optimal model can be obtained
由于gmdh建模的高度智能化,因此能够自动选择结构突变点的位置和突变类型,准确地得到最优的结构突变点。 |
| 5. | Combined with the graph correlating the first resonance frequency with driving point location , the method localizes the crack by monitoring a jump in the graph
结合裂纹梁第一阶谐振频率与驱动点位置关系曲线，利用曲线上出现的突变点，准确地识别了梁的损伤状态和裂纹损伤位置。 |
| 6. | 4 ) it ' s improper to divide the episodes of china ' s stock market to macro extent according to the breakpoints estimated through icss : mv , for there are so many breakpoints
( 4 )希望借助市场股指收益序列的结构性突变点的测量，来对股市进行一般宏观意义上的阶段划分，还欠合理。 |
| 7. | In third chapter author uses this ability to detect the edge of image . author hopes to detect pcb defection based on this method . the experiments testify validity of this method
实验证明，利用小波变换具有检测信号突变点及多尺度分析的能力来进行缺陷图像边缘检测是有效的。 |
| 8. | Furthermore , selecting the criterion value of f incremental statistic may control the significance of the breaks in order to accommodate to variant investigation intentions
同时,由于f增量贡献统计量的使用,可以通过调整f增量贡献值来控制搜索的结构突变点的显著程度,以适应不同的研究目的。 |
| 9. | The point of singular signal ' s conjoint pixel always changes acutely in its gray - level value . the gray - level distributing gradient of conjoint pixels can show this change
而信号的奇异点或突变点往往表现为相邻像素点处的灰度值发生了剧烈的变化，我们可以通过相邻像素灰度分布的梯度来反映这种变化。 |
| 10. | The theoretic calculation shows the analysis mothed of wavelet packet not only can confirm the abrupt change point of the signal , but alse can confirm the fault degree and time in all frequency spectrum
理论计算表明，应用小波包分析技术不仅可以确定信号的突变点，而且可以在全频范围内确定信号的突变发生的时间及程度。 |
