The asymptotic joint distribution of maximum and sum of Gaussian sequence;
高斯序列的最大值与和的联合渐近分布
This paper mainly study the almost sure limit for the maxima of the Gaussian sequence {X_n}.
本文研究了高斯序列{Xn}最大值的几乎必然极限。
Let {X_n, n≥1} be a standard Gaussian sequence with r_(ij)=cov(X_i, X_j).
{X_n,n≥1)是标准高斯序列,T_(ij)=cov(X_i,X_j)。
This paper studies the effect of the Gaussian filtering on various evaluation methods according to the characteristic of diameters themselves.
根据几何产品技术规范提出的拟合尺寸(包括最小二乘直径、最大内接直径和最小外接直径的需要),本文将针对这些直径的特点,分析研究高斯滤波对各种评定方法的影响。
On the basis of comprehensive researches of the existing Gaussian filtering method for surface roughness, the convolution algorithm and fast Fourier transform algorithm for the Gaussian regression filter and Gaussian robust filter have been deduced and the C codes have been programmed.
在讨论现有表面粗糙度高斯滤波方法的优缺点的基础上 ,推导了高斯回归滤波及高斯稳健滤波的卷积算法和快速傅里叶算法过程 ,编写了算法的 C语言代码。
The shortcoming of Gaussian filtering applied to characterize the engineering surfaces was presented.
分析了高斯滤波在实际工程表面评定中存在的不足 ,引入稳健估计理论 ,提出了一种新的基于高斯滤波的稳健算法 ,消除了表面异常值对高斯滤波效率的影响 ,提高了高斯滤波的稳健性 。
Application of Gauss filtering and information entropy principle in veri- fication of arithmetic mean deviation
基于高斯滤波和信息熵原理的R_a评定研究
Gauss filtering has been adopted on original granite surface profile curves,and then research its roughness.
阐述了花岗石表面轮廓的特点,提出先对原始轮廓曲线进行高斯滤波,然后再进行粗糙度计算的方法;并对用高斯滤波和最小二乘中线两种方法计算的粗糙度进行了比较,认为高斯滤波方法更适合花岗石表面轮廓的粗糙度研究。
The image is enhanced through the method that combines histogram and Gauss filter.
通过直方图同高斯滤波相结合的方法进行图像增强,根据直方图求出最佳阈值,将灰度图像转化成二值图像,然后利用八邻域分析法提取焊接轨迹轮廓。
This paper presents a Gauss filter method to eliminate noise of threshold images,the threshold image is changed into smooth one which has smaller burr and has better connectedness.
提出一种“高斯滤波”的方法去除这些白点,使二值化图像变得平滑、少毛刺,并具有较好的连通性。
This paper compares the long wavelength components of gravity anomalies derived from satellite altimetry with ones from the new global gravity field model EIGEN_1S of the CHAMP within the same spatial resolution,based on 2_D Gauss filter.
利用世界上第一个采用高低卫_卫跟踪技术的CHAMP重力卫星计划导出的全新的高精度全球长波重力场模型EIGEN_1S结果 ,根据二维高斯滤波原理 ,基于相同空域尺度对卫星重力结果和由卫星测高解算的几种版本的海洋重力异常数据进行了长波部分的分析研究。
Order Selection of Autoregressive Model in Simulation of Correlated Gauss Sequences
AR模型仿真相关高斯序列的阶数选择
Almost Sure Convergence for Sample Range and Joint Asymptotic Distributions of Exceedances Point Process and Partial Sum;
极差的几乎处处中心极限定理及高斯序列点过程与部分和的联合极限分布
Maximum Likelihood Estimation of Parameters for Non-Gaussian Autoregressive Processes
非高斯AR序列参数的最大似然估计
Almost Surely Central Limit Theorem on the Maximum of Gaussian Vector Sequence;
高斯向量序列的几乎处处中心极限定理
A Strong Invariance Principle for Negatively Associated Gaussian Sequences
负相伴高斯随机变量序列的一个强不变原理
Application to Gauss Pulse Sequence Signal of Chaos Amplitude Modulation in Radar
混沌调幅的高斯脉冲序列信号在雷达中的应用
Research on Moving Object Detection in Image Sequence Based on Gaussian Mixture Model
基于高斯混合模型的图像序列运动目标检测技术研究
The Moving Object Detection based on Local Hierarchical GMM
基于局部层次化混合高斯模型的视频序列运动目标检测
chaotropic anion
离液序列高的阴离子
Molecular Cloning and Sequence Analysis of PR2-Like Sequences in Oryza alta
高杆野生稻PR2同源序列的分离与序列分析
Gregory OF NYSSA, SAINT
圣格列高利(尼斯的)
Gregory II CYPRIUS
格列高利二世(塞浦路斯)
Chaotic time series prediction based on the variational Bayesian kriging model
变分贝叶斯Kriging模型预测混沌时间序列
Application of Time Series and Bayesian Model in Settlement Prediction;
时间序列及贝叶斯模型在沉降预测中的应用
The Study on the Multiple Time Scales of Hydrological Time Series in Karst Drainage Basins;
喀斯特流域水文时间序列的多时间尺度研究
Bayesian Analysis of Economic Time Series ARMA Model and Its Applicaton;
经济时间序列ARMA模型的贝叶斯分析及其应用
Bayesian Forecasting Model for Economic Time Series and Its Application;
贝叶斯经济时间序列预测模型及其应用研究
Target Tracking Based on Bayesian Filter in Colored Image Sequence;
彩色图象序列中基于贝叶斯滤波的目标跟踪
