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mean deviation
相关语句
  平均偏差
    Based on the mean deviation and project practice,the object function and constraints are presented respectively.
    采用数值方法对阵列天线的方向图进行了综合,将平均偏差用于目标函数的构造之中,同时结合工程实际,给出了约束条件。
短句来源
  平均偏差
    Based on the mean deviation and project practice,the object function and constraints are presented respectively.
    采用数值方法对阵列天线的方向图进行了综合,将平均偏差用于目标函数的构造之中,同时结合工程实际,给出了约束条件。
短句来源
  “mean deviation”译为未确定词的双语例句
    As the LMS algorithm is a kind of noise gradient method, the convergence gain should be lessened gradually to ensure that the quadratic mean deviation of the steady state takes the quadratic mean deviation of the system as its limit.
    另外 ,由于LMS算法是噪声梯度法 ,须使其计算步长逐渐缩小 ,以保证LMS算法的稳态均方差趋向于系统的最小均方差。
短句来源
    For approximation,the average deviation of the regional mean as a threshold is proposed,if the regional mean deviation about the approximation coefficients for each sub band is higher than the threshold,a logical filter fused rule is employed,else a weighted average fused rule is applied and the weighted coefficients are given by the approximation coefficients.
    对于低频子图像,定义区域均值的平均相对偏差作为阈值,融合子图像区域均值偏差大于阈值时,采用逻辑滤波方法融合,反之采用基于像素值加权平均的融合规则。
短句来源
    Two kinds of resource management algorithms,the minimum mean deviation criterion and the minimax deviation criterion,are proposed,respectively.
    分别提出了基于协方差偏差均值最小准则和最大协方差偏差最小准则两类资源管理算法.
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  mean deviation
The light scattering by a rough surface with random Gaussian fluctuations of roughness is studied in the case of coarse roughness, whose parameters-mean deviation and correlation length-are much greater than the radiation wavelength.
      
The mean deviation between the total atmospheric ozone content derived from TOVS data and that got from ground-based Dobson spectrophotometer observation is 3.67%.
      
An appreciable reduction of the mean deviation was achieved in all spectra considered.
      
To determine the false-negative response rate in patients with primary open-angle glaucoma (POAG) and its relationship with the mean deviation, we evaluated 286 visual fields of patients with POAG.
      
In addition, 38 CL wearers (79%) showed higher positive mean deviation values than 10 eyes (20.8%) with spectacles.
      
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LMS algorithm is used widely in various adaptive filters designing. A lot of work has been done on it.The adequate convergence condition of this algorithm has been got. And the upper and lower bounds of the misadjustment in the algorithm for a constant convergence gain have been got. The quantitative study on the convergence gain is yet insufficient. Because of the statistical characteristic of input data of the weights in a LMS algorithm, more attention ...

LMS algorithm is used widely in various adaptive filters designing. A lot of work has been done on it.The adequate convergence condition of this algorithm has been got. And the upper and lower bounds of the misadjustment in the algorithm for a constant convergence gain have been got. The quantitative study on the convergence gain is yet insufficient. Because of the statistical characteristic of input data of the weights in a LMS algorithm, more attention should be paid to the recent historical calculation data. As the LMS algorithm is a kind of noise gradient method, the convergence gain should be lessened gradually to ensure that the quadratic mean deviation of the steady state takes the quadratic mean deviation of the system as its limit. According to this condition, a new method to estimate the optimum convergence gain is proposed. In the new method the increment of the weights vector in previous steps was rotated and placed to a plane , then the extended method for a one variable convex function was used. In this way, the misadjustment of the LMS algorithm can converge to zero quickly.

LMS算法在线性滤波中得到广泛应用。人们对其进行了许多研究 ,给出了算法收敛的充分条件和对于固定计算步长的误差上下限算法。但以往对计算步长的定量研究尚很不充分。由于LMS算法中权向量输入数据的统计特性 ,迭代计算中应突出使用较近的历史数据。另外 ,由于LMS算法是噪声梯度法 ,须使其计算步长逐渐缩小 ,以保证LMS算法的稳态均方差趋向于系统的最小均方差。据此 ,提出了一种估计最佳计算步长的新方法。新方法中将LMS算法中的各步权增量向量旋转后放至同一平面 ,在此基础上利用凸函数外推法求出计算步长的当前最佳估计值。这样 ,能使LMS算法的偏差较快地趋向于零。该法被用于汽车语言信号噪声消抵的计算机模拟 ,结果令人满意

Fractal image coding is a very promising compression technique, in which an image is encoded by a contractive transformation whose fixed point is close to the original image, and then is decoded by using the iteration procedure stemmed from Banach fixed-point theorem. However, it has not been widely used because of its long encoding time and high computational complexity. A fast fractal encoding algorithm is thus proposed in this paper. The proposed algorithm uses an inequality linking the root-mean-square...

Fractal image coding is a very promising compression technique, in which an image is encoded by a contractive transformation whose fixed point is close to the original image, and then is decoded by using the iteration procedure stemmed from Banach fixed-point theorem. However, it has not been widely used because of its long encoding time and high computational complexity. A fast fractal encoding algorithm is thus proposed in this paper. The proposed algorithm uses an inequality linking the root-mean-square (RMS) and mean intensity deviation to convert the range-domain block matching problem to the nearest neighbors search problem in the sense of mean deviations. In detail, after the codebook blocks are sorted according to their mean deviations of intensities, the encoder uses the bisection search method to find out the best matched codebook block regarding to mean deviations of a given range block. Because the closeness of mean intensity deviations of two blocks cannot ensure their good approximations in the RMS sense, the encoder utilizes the inequality to again search for the best-matched block (in the RMS sense) in the nearest k-neighbor of the best-matched block (in the sense of mean deviations) to a given range block in order to further improve the image quality. The experimental results demonstrate that the encoding procedure is much faster than that of the baseline fractal algorithm, while it gives an insignificant degradation in the subjective quality.

分形图像编码是一种很有前途的压缩技术 ,但由于其编码时间长、计算复杂性高 ,因而阻碍了它的广泛应用 ,针对此问题 ,提出了一种快速的分形编码算法。这种算法是首先将码本按照平均偏差大小进行排序 ,然后使用二分搜索法寻找给定 Range块在平均偏差意义下的最好匹配码块 ,进而利用一个联系均方根和平均偏差的不等式来在这个最好匹配码块的邻域中搜索 Range块在均方根意义下的最佳匹配码块。实验结果显示 ,在主观质量略有下降的条件下 ,该算法编码过程显著快于基本分形算法。

The paper presents a region-fused image fusion algorithm,according to the different imagery characteristic between the SAR and multi-spectral images based on studying the lifting scheme wavelet transform.The details selected are based on maximum standard deviation of the detail coefficients for each sub band.For approximation,the average deviation of the regional mean as a threshold is proposed,if the regional mean deviation about the approximation coefficients for each sub band is higher than the threshold,a...

The paper presents a region-fused image fusion algorithm,according to the different imagery characteristic between the SAR and multi-spectral images based on studying the lifting scheme wavelet transform.The details selected are based on maximum standard deviation of the detail coefficients for each sub band.For approximation,the average deviation of the regional mean as a threshold is proposed,if the regional mean deviation about the approximation coefficients for each sub band is higher than the threshold,a logical filter fused rule is employed,else a weighted average fused rule is applied and the weighted coefficients are given by the approximation coefficients.The experiment result shows the algorithm effectively fused the complementary information of SAR and multi-spectral images and it is easy to be realized in DSP compared with other wavelet transform.

在对提升机制小波变换的原理和特点研究的基础上,结合SAR图像与多光谱图像不同成像特性,提出了一种基于提升小波变换区域融合的SAR与多光谱图像融合方法。对于小波变换后的高频子图像,选择区域标准差大的作为融合后的子图像;对于低频子图像,定义区域均值的平均相对偏差作为阈值,融合子图像区域均值偏差大于阈值时,采用逻辑滤波方法融合,反之采用基于像素值加权平均的融合规则。实验证明,该算法能够有效融合SAR与多光谱图像之间的互补信息,与其它用于图像融合的小波变换方法相比,运算速度较快,易于DSP实现。

 
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