其次滤除受高斯噪声污染的像素点，采用对称近邻均值滤波算法。
Following that the Gaussian noises are filtered out by symmetrical-neighbor mean filtering.
实验结果表明，与传统的中值滤波和均值滤波算法相比，该算法能够有效地去除高斯和脉冲噪声，同时能够保留更多的图像细节信息。
As a result, the experiment shows that the algorithm can effectively filter out Gaussian and impulse noises, as well as preserve more detailed information of the original image.
利用真实舰船航行辐射噪声作为目标及干扰，正态分布高斯白噪声作为噪声背景，在基元等间隔线阵上实现了最佳空间滤波器。
The realization of OSF in the case of real target radiated noise in the background of Gaussian white noise for equal spaced line array is illustrated.
为了去除图像中混入的脉冲噪声和高斯噪声，提出了一种基于自适应中值滤波和自适应加权均值滤波的混合滤波方法。
To remove mixed impulse noise and Gaussian noise in digital images, a hybrid filter based on the adaptive median filter and the adaptive weighted mean filter are proposed.
本论文以非线性、非高斯噪声环境下的目标跟踪为主要背景，研究弹道导弹目标粒子滤波算法。
In this paper, research on particle filter algorithm for ballistic target tracking is carried on under the main background of nonlinearity, non-Gaussian noise.
在短波信道建模中，通常采用对高斯白噪声滤波来仿真多普勒扩展效应，这些模型的时域相关值与理论值相差较大。
In HF channel modeling, doppler spread effects are usually simulated by filtering white Gaussian noise. The signal correlation in time domain deviates far from the theoretical value.
该算法可以直接应用于原系统的非线性模型当中，并且不需考虑系统噪声和量测噪声是否为高斯白噪声，都能得到很好的滤波效果。
It could be directly applied to the nonlinear model of the initial system, and could get good filtering result whether the system noise or measured noise was Gaussian or not.
该算法对红外图像处理过程中不同类型的噪声采用不同的方法滤波，有效地滤除了高斯噪声和脉冲噪声，同时增强了目标和背景中的边缘成分。
Different means are used for different kinds of noise respectively. The edges of target and background are enhanced and the elimination of Gauss noise and pulse noise are reduced.
该方法采用自适应高斯滤波器对原始曲线进行平滑处理以消除噪声影响，并提出了一种适合于圆弧曲线拟合的分段算法。
This method adopts self-adaptive gauss filter to process original curve smoothly to eliminate noise effects, and proposes a fragrmented algorithm that is adaptive to circular arc.
后者直接应用广义s变换的时频谱实现，用于含高斯白噪声信号的滤波，达到了突出有效信号和压制噪声的效果。
Another applied in filtering signal containing Gaussian white noise is computed directly by utilizing time-frequency spectrum of GST, which can enhance non-stationary signal and suppress noise.
本文介绍了基于信号局部统计性质的、能同时压制加性高斯噪声和脉冲噪声的自适应顺序统计滤波器的基本原理。
The paper introduced the basic principles of adaptive L-order statistic filter based on local statistic properties of signals and the features of suppression of Gaussian noise and pulse disturbance.
文章提出了一种新的自适应平滑滤波方法，并据此设计自适应高斯核平滑滤波来抑制红外图像中的随机噪声。
The paper proposes a new method of adaptive smooth filter, based on that to design a Gaussian kernel adaptive smooth filter so as to suppress the random noise spread on the infrared image.
结合中值滤波与小波去噪分别去除椒盐噪声和高斯噪声中的优势，提出了一种指纹图像混合去噪算法，并对其中的关键步骤进行了详细分析。
Combining the advantages of median filtering and wavelet transform in denoising salt and pepper and gauss noise, bring up a sort of mixing denoise algorithm, and analyze the critical steps on detail.
粒子滤波技术是近几年出现的一种非线性滤波技术，它适用于非线性系统以及非高斯噪声模型。
The particle filtering is a nonlinear filtering technology, which is suitable for the nonlinear system and non-Gaussian noise model.
为了提高直扩通信系统在高斯白噪声背景下抑制窄带干扰的能力，采用了归一化最小均方自适应（NLMS）滤波技术。
Normalized least mean square(NLMS)adapting filtering technology has been applieread spectrum c mmunication system to lim t narrowband interferences in the situationd tosp oi of Gaun ises.
然后对含有高斯噪声的图像以模糊滤波算法进行降噪处理。
根据视觉测量图像质量较好及以高斯噪声为主的特点，提出采用简单的高斯滤波或者SUSAN去噪算法对图像在卡尺范围内进行滤波处理的方法。
The simple GAUSS filter or SUSAN filter will be used to removal the noise in the calipers scope according the characteristic of image quality and GAUSS noise.
本文提出了两种同时受脉冲噪声和高斯白噪声污染图像的基于区域生长的细节保护滤波器。
In this paper, two detail-preserving region-growing-based filters is proposed to deal with the noisy image.
研究了对局部平稳高斯色噪声混响模型和以局部平稳高斯色噪声混响模型为基础的分段匹配滤波和分段预白化匹配滤波检测算法。
Secondly, local stationary colored reverberation model and the block matched filtering and block prewhiten matched filtering detection methods which based on the model is studied.
利用中值滤波和基于小波变换的去噪声处理对同时含有高斯噪声和脉冲噪声的X线图像降噪方法进行探讨。
This paper evaluated median filter in company with wavelet transformation to process X-ray image that contained Gauss noise and impulse noise at the same time.
然后根据离散时间双稳态系统，设计了处理常值二进制信号的接收器结构，在一些非高斯噪声下对接收器的检测性能与匹配滤波器进行了比较分析。
The receiver structure based on discrete-time bistable system is designed for the constant binary signal detection, and it is compared with the matched filter in some cases of non-Gaussian 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。
The conventional average filter and median filter have different filtering characteristics to Gauss noise and impulse noise.
首先对图像进行中值滤波去除噪声，然后用高斯—拉普拉斯算子提取边缘，这种边缘检测方法的效果很好。
First, do median filter to image in order to wipe off noise, then make use of Gauss-Laplace operator to pick up edge. The result showed the kind of edge detecting method has good performance.
采用维纳自适应滤波，抑制随机噪声和高斯噪声；
The proposed approach adopts adaptive filter to suppress random noise and Gauss's noise so as to enhance the SNR.
本文将平面图像平滑的方法拓展到深度图像领域，通过分析噪声模型，我们利用中值滤波器和高斯滤波器对深度图像进行三维平滑。
We extend the smoothing methods for 2d image to the field of the range image. Analysing the noise models, we utilize the Median filter and Gaussian filter to do the 3d smooth for the range image.
针对具有高斯噪声的非线性随机系统状态估计问题，提出了一种基于分段常值的贝叶斯状态估计滤波算法。
A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinear stochastic system with white noises.
由于扩展卡尔曼滤波必须假定噪声服从高斯分布，若用于复杂非线性系统，其估计精度不甚理想。粒子滤波对噪声类型没有限制，正在成为非线性系统状态估计的有效近似方法。
Because EKF must assume that the noise is subject to Gaussian distribution, the estimate accuracy is not so good if it is used to estimate the state of complicated nonlinear system.
由于扩展卡尔曼滤波必须假定噪声服从高斯分布，若用于复杂非线性系统，其估计精度不甚理想。粒子滤波对噪声类型没有限制，正在成为非线性系统状态估计的有效近似方法。
Because EKF must assume that the noise is subject to Gaussian distribution, the estimate accuracy is not so good if it is used to estimate the state of complicated nonlinear system.
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