脉冲噪声

• According to the distribution of local impulse noise , an adaptive chord deviation method is used to avoid redundant detection or missing of impulse noise at the quick rising , descending or broken line area of data set
  摘要针对现有脉冲噪声滤波算法在处理大斜率区域和断线型激光扫描数据中存在的多判和漏判问题，提出了一种有效检测脉冲噪声的方法。
• Because the noises in ir images changes slowly and its frequency components con - centrate on the range of low frequency . the wgos is used to suppressing background and noises . just for the three origin images in this dissertation , the global threshold in the algorithm is enough to divide up targets from the background
  红外图像的噪声通常为脉冲噪声,具有高频特性;而红外图像的背景变换比较缓慢,其频谱成分多集中在低频区域,所以本文在对图像特性分析的基础上,设计改进了基于加权广义次序统计滤波器的背景抑制的算法。
• Although adsl comes with new digital processing , coding , modulation and error correction technologies , it is also faced with various challenges out of subscriber lines , such as background noise , impulse noise , insertion loss , cross talk , wire size variations , bridge tap , line joints and line insulation , etc . all those factors tend to produce adverse impacts on the performance of high - speed transmission services . firstly , the insertion loss of copper lines increases in proportion to the length of lines
  虽然adsl采用先进的数字信号处理技术、编码调制技术和纠错技术，但是在推广adsl业务时，用户线路的许多特性，包括线路上的背景噪声、脉冲噪声、线路的插入损耗、线路间的串扰、线径的变化、线路的桥接抽头、线路接头和线路绝缘等因素将影响高速率传输业务的性能。
• At the same length , the insertion loss of different sub - channels also undergoes changes . this effect , along with the intrinsic background noise , impulse noise and the receiving sensitivity of modem on the adsl , will limit the maximum transmission distance on one single subscriber line
  首先，铜线的插入损耗将随着线路距离的增加而成比例地增加，并且在同一距离下各子信道的插入损耗也发生变化，这个因素和线路固有的背景噪声、脉冲噪声、调制解调器的接收灵敏度一起将限制在单用户线上adsl所能够传输的最大距离。
• This paper designs a measurement system and measures the main properties of power line practically . the characteristics of power line are analyzed in detail , and a power line channel model is presented which consists of the parametric transfer function model and the simulating model of background noise , narrow noise and impulse noise . simultaneously the simulating method on the computer is presented
  本文设计了一个测量系统对实际电力线信道的主要特性进行了测量，详细分析了电力线的信号传输特性和噪声特性，给出了一个实用的室内电力线信道模型，包括参数化的传输函数模型以及背景噪声、窄带噪声和脉冲噪声的近似模型，并给出了计算机仿真实现方法。
• Usually , we consider a sampling technique in which each sample is obtained by averaging a diamond portion of the picture , as we know , a large amount of information of a image in nature mainly gathered the small area , at the same time < , . but to finger print gray image , a fine degree of quantization is particularly important for samples taken in regions of a picture across which the gray level changes slowly
  目前国内外图像滤波常用的方法有线性滤波和非线性滤波。线性滤波有完善的理论基础，数学处理也简单，易于fft实现，在滤波技术中占有及其重要的地位，但对于像素受污染的指纹图像而言由于脉冲噪声的重脱尾，处理效果并不太理想。
• There is often noise in real images . in order to clear off the noise in image and meanwhile preserve the image edge information , we propose in the paper a efficient technique based on wavelet transform and median filter . based on the analysis of gaussian and impulse noise in wavelet transform , our method filters the high - frequency subband images combined to the property of median filter , then thresholds the subband images in wavelet - domain
  在图像中常常会含有各种噪声；为了消除或衰减存在于图象中的噪声，同时尽可能地保留图象细节，本文提出一种基于小波变换与中值滤波相结合的方法实现了图象去噪；该方法是根据高斯噪声及脉冲噪声在小波变换下的不同特性，并结合中值滤波的特点，在小波域内对高频子带进行中值滤波，然后选择相应的门限进行降噪处理。
• A serial generalized morphological filter with multi - structural element is used suppression white gaussian noise or pulse noise embedded in the speech signal . the paper compares morphological speech enhancement algorithm with classical approach on the feature of speech in the frequency domain and time domain
  本文针对形态学在数字语音信号增强中的应用算法研究，采用多结构元素的广义形态滤波器，主要用于对被高斯白噪声或正负脉冲噪声污染的语音信号的滤波增强，深入研究形态学滤波的语音增强算法在语音时域、频域对语音特征参数的影响。
• In the presence of impulsive noise , the two received signals are combinated , so the estimated impulse response of the channel is the eigenvector of its covariation matrix corresponding to the smallest eigenvalue , which can be realized adaptively using generalization of the normalized least mean - norm ( generalized nlmp ) algorithm
  该算法在脉冲噪声环境下，组合两个接收信号，使其共变矩阵最小特征值对应的特征向量为信道的估计，并基于广义归一化最小平均范数（广义nlmp ）方法自适应得到该特征向量，从而获得时延估计。