In particular the median filter can reduce impulse noise.
另外，中值滤波可以有效抑制脉冲干扰。
The median filters have been generally adopted to reduce impulse noise.
消除脉冲噪声通常采用中值滤波算法。
While effectively removing the impulse noise, removing Gaussian noise as well.
有效去除脉冲噪声的同时，去除高斯噪声。
We apply sparse signal processing to OFDM channel estimation under impulse noise.
我们将稀疏信号处理应用于冲击噪声下的OFDM信道估计问题。
Experimental results show that the algorithm can strongly inhibit the impulse noise.
实验证明该算法对脉冲噪声有较强的抑制作用。
The technology of impulse detection is the key technology of image filter of impulse noise.
脉冲检测技术是脉冲噪声图像滤波的关键技术。
This method can effectively remove fixed noises of the Gaussian White noise and impulse noise.
该方法能够有效去除高斯白噪声和脉冲噪声的混合噪声。
Noise detection-based median filters have been widely adopted to reduce impulse noise in images.
基于噪声检测的中值滤器已广泛用于消除图像中的脉冲噪声。
The filter consists of a fuzzy impulse noise detector, impulse noise canceller and fuzzy jointer.
该滤波器由模糊脉冲噪声检测器、噪声消除器与模糊结合器构成。
An impulse noise filter for 1d signal has been introduced and then extended for the image proceeding.
将一维信号的自适应冲激噪声滤波算法扩展到二维空间，并改进以应用到图像噪声滤波。
Two noise models can adequately represent most noise added to images: Gaussian noise and impulse noise.
人们知道两种噪音模型就能充分代表大部分图像中的噪音，即高斯噪音和脉冲噪音。
This paper analyzes the parallel estimation method of the fast fading channel in the present of impulse noise.
该文分析了在存在噪声干扰的情况下，进行估计快衰信道的方法。
The conventional average filter and median filter have different filtering characteristics to Gauss noise and impulse noise.
传统均值滤波和中值滤波对高斯型噪声和椒盐型噪声有着不同的滤波特性。
To improve the performance of impulse noise reduction, a new variational method based on adaptive median filter was proposed.
针对自适应中值和变分滤波方法脉冲噪声去除能力的不足，提出了一种新的变分自适应中值滤波方法。
The simulation results show that the proposed method can remove impulse noise while preserve the edge structure of the image.
实验结果表明，该新方法在去除脉冲噪声的同时，还很好地保留了图像的边缘结构。
Acoustic impedance changes and hearing threshold shifts after exposure to impulse noise or air-blasts were studied in guinea pigs.
本文利用豚鼠研究了脉冲噪声和空气冲击波暴露后中耳声阻抗的变化和听阈偏移。
As a kind of nonlinear filters, stack filters can suppress impulse noise effectively, and keep edges and details at the same time.
堆栈滤波器是一类能够有效滤除脉冲类噪声，同时能较好地保护图象边缘与细节的非线性滤波器。
The simulation results show that the proposed method can remove impulse noise meantime preserve the detail structure of the image.
实验结果表明，提出的方法在去除脉冲噪声的同时，很好保留了图像的细节结构。
A new efficient approach for the removal of impulse noise is presented based on the characteristic of impulse noise in this paper.
基于脉冲噪声的特点，提出了一种新的非常有效的脉冲噪声的滤波算法。
Applying median filtering will effectively reduce the impulse noise, which can combine wavelet packet transform and median filter.
将子波包变换和中值滤波相结合，可以有效地降低图像噪声。
Aim: to investigate the inner ear damage after exposure to stable noise, impulse noise and stable plus impulse noise in guinea pigs.
目的：观察稳态噪声、脉冲噪声与两者协同作用下对豚鼠内耳的损伤。
Experimental results show that the new algorithm can effectively remove the impulse noise and preserve more details of original images.
实验结果显示，该算法能够有效地消除脉冲噪声，并且保留了原始图像的更多细节。
The hearing safe limits for impulse noise between the human body and guinea pigs were discussed in the light of the literature concerned.
文中参照文献资料讨论了人与豚鼠对脉冲噪声的听觉安全界线。
Conclusion Impulse noise causes more serious damage in causing high frequency hearing loss than continuous noise according to equal energy rule.
结论脉冲噪声所致高频听力损失的危害在能量相同的情况下大于稳态噪声。
In this paper, a novel approach is proposed for removing and restoring random-valued impulse noise and preserving fine details at the same time.
为了去除图像随机脉冲噪声的同时保留边缘，提出一种新方法。
In the paper, it proposes a novel method based on detail image filtering using structure Windows to remove random-value impulse noise from images.
文中提出了一种基于细节图像结构窗滤波去除随机值脉冲噪声的新方法。
Impulse noises are often encountered in image acquisition and communication. We present an impulse noise removal method using long range correlation.
针对图像采集与通信过程中经常遇到的脉冲噪声问题，提出基于远程相关性的脉冲噪声消除方法。
In order to improve the segmentation performance of images corrupted by impulse noise and Gaussian noise, fuzzy weighted support vector machine is proposed.
针对图像在获取和传输过程中易受各种噪声污染的事实，为了提高支持向量机对噪声图像的分割性能，提出了模糊权重支持向量机。
To accurately detect and filter out the impulse noise in the image, the switching median filter algorithm of noise detection is proposed based on quartering.
为了精确的检测出图像中的脉冲噪声并滤除，提出一种基于四分法噪声检测的开关中值滤波算法。
This approach can be applied in the impulse noise case or in the gauss noise case, hence it possesses the better robust property than the conventional methods.
该算法既可应用于冲激噪声下，又可应用于高斯噪声环境，故具有较好的鲁棒性。
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