声学-结构灵敏度用于预测结构辐射声压随结构设计变量的变化，该值对结构降噪设计有重要意义。
Acoustic-Structure sensitivity is used to predict the change of acoustic pressure when structure design variable was changed, which is significance for reducing noise of structure.
传统的模极大值序列处理方法虽然可以保留信号特征，但降噪后的信号在奇异点有毛刺和轻微的振荡。
Although traditional processing method of modulus maximum array can retain characteristics of signal, the signal after de-noising exists thorns and slight oscillation at singularity point.
信号降噪是指滤除信号的高频噪声从而使信号尽量接近真实值，这是信号处理的关键环节。
The signal denoising is a method for filtering the high-frequency noise of the signal and makes the signal more precise.
低密度和高度多孔的基底是高度吸音的，从而显示出大于或等于约0.80的降噪系数，NRC值。
The low density and highly porous substrate is highly absorbing, exhibiting noise reduction coefficients, NRC values of about 0.80 or greater.
同时研究了噪声对关联维数计算结果的影响，并提出用采样迭代奇异值降噪算法对原始数据进行降噪处理。
The influence of noise on the computational precision of correlation dimension is discussed, and iterative singular value decomposition for reducing noise is introduced.
介绍了基于插值细分法的第二代小波变换的基本原理和变换过程，给出了小波降噪的阈值选取方法。
The principle and process of the second generation transform based on interpolating subdivision is described, and then the selection of wavelet shrinkage is provided.
经降噪、二值化、细化、平整、拟合、标定等一系列处理后，即可自动生成相对动态位移场。
Through a series of processes such as noise reduction, binary, refinement, smoothness, fitting, and calibration, the relative welding dynamic displacement field could be acquired automatically.
该算法的特点是将能量最小法则和奇异值分解结合起来，在代数空间中建立了一种自适应的图像降噪算法。
Comparing with the adaptive denoising algorithm based on compression ratio and SVD, it avoids calculating the function of image compression ratio and its knee point.
该算法的特点是将能量最小法则和奇异值分解结合起来，在代数空间中建立了一种自适应的图像降噪算法。
Comparing with the adaptive denoising algorithm based on compression ratio and SVD, it avoids calculating the function of image compression ratio and its knee point.
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