基于emd meaning in Chinese
emd gp40-based passenger diesels
Examples
- 4 . emd can decompose signal in different scale components , an effective algorithm of multiscale technique for detecting edges in sar images is proposed based on the character of emd
利用emd方法能将信号分解为不同尺度的成分，利用emd方法的这个特性，研究基于emd方法sar图像多尺度边缘提取方法。 - 5 . a speckle filter based on emd is proposed , it smooth along edge direction in edge area and compute mean of square area in homogenous region , therefore this method can reduce speckle while preserve edge in sar images
提出了基于emd方法的sar图像斑点滤波方法；这个方法在边缘区域沿着边缘方向平滑，在同质区域在方形窗口内取平均，因此这个方法在去除斑点同时能够有效保持边缘。 - Chaper six compared the emd - based time - frequency analysis method to the typical ' s : short time fourier analysis , wigner distribution and wavelet anlysis , the result showed that the emd - based ' s is better than the others . to weaken the crossing interfere in multi - components signal in wigner distribution the emd - based wigner distribution was proposed and the study result showed that the method is valid . chapter seven built a experiment system at the base of rotor test bed , discussed characteristics of several typical fault in rotating m
第六章把基于emd的时频分析方法分别与短时傅里叶变换、 wigner分布分析、小波变换进行了比较研究，结果表明，基于emd时频分析方法比上述方法有效；针对wigner分布分析的交叉项干扰，提出了基于emd的wigner分布分析新方法，研究结果表明新方法能有效地消除交叉项干扰。 - To solve this problem , some researches on denoising for the nonstationary and noisy - strong signal are carried out in this paper . combining hilbert - huang transform ( hht ) which has been proved to be more valid in the aspect of time - frequency analysis , with mature wavelet transform ( wt ) threshold theory , an emd - based wavelet threshold denoising algorithm is presented
针对这个问题,本文也开展了对信噪比较低的含噪非平稳信号的去噪研究工作,并将具有比小波变换更强时频分析能力的希尔伯特?黄变换( hht )与成熟的小波阈值理论相结合,提出基于emd的小波阈值去噪算法。 - First of all , the emd - based wavelet threshold denoising algorithm is apllied to denoise noisy structural response data to reduce the effect resulting from noise . during the process of the empirical mode decomposition ( emd ) , the two boundaries of the response signal are processed with semi - periodical ? semi - symmetrical method . subsequently , hilbert - huang transform ( hht ) is used in identifying structural intrinsic frequency
这套技术用以解决实际工程应用中遇到的在信噪比较低情况下通过结构的响应信号来进行结构损伤识别问题,即先用基于emd的小波阈值去噪算法对含噪结构响应进行去噪处理,以有效降低噪声影响(在去噪的emd处理过程中,对信号的边界采用“半周期半对称”延括算法来抑制边界误差) ,然后再用希尔伯特?黄变换( hht )进行结构的固有频率识别,最后计算出结构刚度。