An assessment technique that assesses vehicle dynamic performance using the data of rail measurement was developed by Bayesian estimation principle. 应用贝叶斯估计原理,提出了基于地面监测数据的车辆动力学性能评估方法。
Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non-parametric methods, unsupervised learning and clustering. 决策理论,统计分类,最大似然和贝叶斯估计,非参数方法,非监督的学习与聚类。
Algorithm for probabilistic link selection in wireless sensor networks using Bayesian estimation 基于贝叶斯估计的无线传感器网络链路选择算法
Wishart random matrix based Bayesian estimation for time-varying channel in the color noise 有色噪声下基于Wishart随机矩阵的贝叶斯时变信道估计
Cauchy sparse constrained Bayesian estimation based seismic blind deconvolution frame and algorithm Cauchy稀疏约束Bayesian估计地震盲反褶积框架与算法研究
Terrain Aided Navigation Based on Bayesian Estimation 一种基于贝叶斯估计的地形辅助导航
Method of wavelet threshold denoising based on Bayesian estimation 基于贝叶斯估计的小波阈值图像降噪方法
Real-time Reliability Assessment Based on Gamma Process and Bayesian Estimation 基于gamma过程及贝叶斯估计的实时可靠性评估
Bayesian Estimation of Vehicle Dynamic Performance by Rail Measurement 基于地面监测的车辆动力学性能贝叶斯评估技术
The principle of Recursive Bayesian estimation was introduced which was the basis of Particle filter, and the significance of importance function to the design of particle filter was illustrated. 介绍了作为粒子滤波理论基础的递推贝叶斯估计的基本概念,说明了重要性函数对于粒子滤波器的设计是至关重要的。
The algorithms used in maneuvering target tracking can be classified as methods based on maximum likelihood estimation and methods based on Bayesian estimation. 本文以某型反坦克导弹为背景,利用导弹飞行试验数据,应用最大似然递推算法估算了该导弹的气动力参数。
It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example. 通过蒙特卡罗模拟和实例表明多层贝叶斯估计比最大似然估计更加有效。
Then the image noises are removed using Bayesian estimation, producing the preliminary denoised image after reconstruction. 然后利用贝叶斯估计进行图像去噪,重构后得到初次去噪图像;
The article introduces a kind of images restoration method, which make use of relative characters of image pixels, and combines genetic algorithms inducting line process with Bayesian estimation. 文中介绍了一种利用图像象素之间的相关特性,将遗传算法和贝叶斯估计相结合的图像恢复的方法,并在算法中引入线过程。
The image denoising method is proposed based on dual tree complex wavelet transform and Bayesian estimation. 提出对偶树复小波变换和贝叶斯估计确定阈值相结合的图像去噪方法。
This paper analysed a kind of model of the general stochastic epidemic in regular population, discussed its solution and the solution's property, and further carried out Bayesian estimation for its parameter, also gave a method of determining the super parameter of the prior distribution. 介绍了一类在固定人口条件下的标准流行病的随机模型,讨论了该模型的解及其性质,进一步对其参数进行了贝叶斯估计,对其先验分布的超参数也给出了确定的方法。
Fully utilize the existing information in the circumstances, given the Bayesian estimation parameters. 在充分利用已有信息的情况下,给出参数的贝叶斯估计。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering. 在此基于小波域隐马尔可夫树模型,将贝叶斯估计和同态滤波思想有机结合,提出一种新的医学超声图像去噪方法。
The wavelet coefficients related to homogeneous regions are processed by an adaptive threshold derived from Bayesian estimation. 对与同性区域相关的小波系数,则采用一个基于Bayesian估计的自适应阈值进行处理。
Wavelet transform is used to estimate the noise, namely is generalized Gaussian noise. For this, a noise reduction method based on Bayesian estimation is proposed. 利用小波的方法估计出这种噪声属于广义的高斯噪声,因此,提出了一种基于Bayesian估计的小波降噪方法。
The actual fitting of finite mixtures through use of the EM algorithm and we also consider the Bayesian estimation of mixture models and others random algorithms; 通过EM算法拟合有限混合模型;我们也考虑到了混合模型的Balyes估计和利用其它的一些随机算法的估计;
To realize robust tracking in complex environment, a new visual tracking algorithm based on color feature and Bayesian estimation is proposed. 为了解决室外复杂场景中的目标鲁棒跟踪问题,提出了一种基于颜色特征和贝叶斯估计的跟踪算法。
Particle filter is a probabilistic tracking method based on Bayesian estimation. Because of the effective treatment of non-linear, non-Gaussian systems, it was more and more used in video tracking. 粒子滤波算法是一种基于贝叶斯估计的概率性跟踪方法,由于其对非线性、非高斯系统的有效处理被越来越多的应用于视频跟踪的领域。
Parameters estimation is one of most important issue in Item Response Theory, and the existing parameter estimation method include maximum likelihood estimation and the Bayesian estimation have some demerits. 在项目反应理论中一个很重要的问题就是项目参数和特质参数的估计,而现有的参数估计方法极大似然估计法和贝叶斯估计法在进行参数估算的时候都存在着很多问题。
Second, the MCMC method was used to obtain Bayesian estimation of parameters in the model and the procedure for the Gibbs sampling in this model was derived. 第二,我们运用MCMC方法对模型中的参数进行贝叶斯估计并且得到了在文中模型下进行Gibbs抽样的步骤。
In the experiment of this paper, maximum likelihood estimation is contrasted with Bayesian estimation, then its graphic result is revealed. 在本文实验中,对最大似然估计以及贝叶斯估计进行了对比,给出了其图形结果,分析了产生这种结果的原因。
The main contents of the paper are: Firstly, under the unified framework of recursive Bayesian estimation theory, this paper gives in-depth investigation of three classes of non-linear filtering methods as extended Kalman filter, unscented Kalman filter and particle filter. 本文主要研究内容及贡献包括:1)针对非线性动态系统滤波的基本问题,在递归贝叶斯估计理论下深入研究了三类重要的非线性滤波方法扩展卡尔曼滤波(EKF)、无迹卡尔曼滤波和粒子滤波。
In this paper, characteristics of integrated profile, flux intensity and periodic are used in X-ray pulsar detecting, and a time domain method based on Bayesian estimation is proposed. 将累积轮廓、流量和周期三个重要特征应用于X射线脉冲星信号检测中,提出基于Bayesian估计的时域检测方法。
Model parameters for the learning algorithm, we give two different Bayesian estimation strategies: maximum a posteriori estimation and conditional expectation estimation. 对于算法中模型参数的学习,给出了两种不同的贝叶斯估计策略:最大后验估计和条件期望估计。
The statistical model of wavelet coefficients is analyzed. A fuzzy shrinkage factor is derived based on the minimum mean square error ( MMSE) criteria with Bayesian estimation. 分析了SAR图像在平稳小波变换域中的统计模型,推导出基于贝叶斯估计的信号最小均方误差(MMSE)的模糊萎缩因子。