EMI的干扰可能表现为稳定的读数偏置或者引起有噪声的或错误的读数。
RFI/EMI interference may manifest itself as a steady reading offset or it may result in noisy or erratic readings.
实验结果表明，该方法具有隐蔽性和主观欺骗性，在噪声攻击下表现出了良好的鲁棒性。
Results show that the approach has good hiding feature and subjective fraudulence, and the performance of robustness behaves well even when attacked by noise.
模拟实验和实验结果的比较证明了对于PET重建，该先验在抑制背景噪声和保持边缘方面均具有很好的表现。
Simulation experiments and comparisons proved that for PET reconstruction the new hybrid prior performs well in both lowering noise effect and preserving edges.
在与海面的水平方向上，噪声场表现为各向同性。
Isotropic component of noise are presented in the horizontal direction of sea surface.
当心肌动作电位表现为噪声时，心脏节律可完全破坏。
When the cardiac action potential is in the state of noise, it can destroy the rhythm completely.
通过与均值滤波、中值滤波的对比实验，自适应权重中值滤波器表现出良好的滤波特性，而且它在抑制噪声的同时，较大限度地保持住图象的边沿特征。
By the comparative tests with the mean filter and the median filter, the AWMF performs best features in the reduction of noise and keeping edge information of images.
并对这些算法进行了仿真实验，对输出的结果进行了认真的分析和比较，还实验对比了各算法在噪声情况下表现出来的效果。
Also studies the Canny operator and its defect, these methods are analyzed carefully trough experiment simulation, and also analyze every operator's effect in the noise.
所有真实的电压源和电流源都具有内阻，所以它们都表现出约翰逊噪声。
All real voltage and current sources contain an internal resistance; therefore, they exhibit Johnson noise.
加用噪声刺激组反应更为明显，防治组的表现程度较低压噪声组轻。
Control group which had noise stimulation synchronously had more obvious responses compared with Pue-intervening group.
图像噪声有很多种，主要表现为脉冲噪声和高斯噪声。
There are many kinds of noise in images, mostly are impulse and Gaussian noise.
这种新算法比矩阵恒模算法表现出更快的收敛速度、更好地抑制噪声的性能。
This new algorithm has better converge and interference suppressors performance than what Matrix CMA algorithm has.
通过对信号与噪声奇异性的分析，得出信号与噪声的小波变换模极大值在各个尺度上的表现截然相反的结论。
The singularities of signals and noises are investigated. A conclusion is drawn that the wavelet modulus maxima of signals have contrary behaviors from that of noises.
随尺度增加，边缘和噪声的小波幅值表现出不同变化特性，从而在低信噪比的信号中检测出噪声和边缘。
Wavelet breadths of edges and noise display different identities with increasing of the scale, so edges and noise can be respectively detected from the signals of low signal-noise ratio.
分析研究图像和噪声在稀疏分解中的不同表现，明确图像信息和噪声的区别。
Based on study of the different behavior of image and noise in sparse decomposition, the difference between image and noise is identified.
噪声参数与势垒区的复合效应密切相关，主要表现为频率指数基本不变，噪声幅值呈增大趋势。
The noise parameters are closely related to the barrier zone and mainly reflected in the noise amplitude.
噪声参数与势垒区的复合效应密切相关，主要表现为频率指数基本不变，噪声幅值呈增大趋势。
The noise parameters are closely related to the barrier zone and mainly reflected in the noise amplitude.
应用推荐