Two different global localization methods based on Bayesian estimation theory are mainly investigated in the paper.
文中侧重研究了两种以贝叶斯概率后验估计理论为基础的全局定位方法。
Finally, calculations of simulations are performed, which show that the expected Bayesian estimation method is feasible and easy to operate.
最后，给出了模拟计算，结果表明本文提出的方法可行且便于应用。
The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.
基于贝叶斯估计理论，得到了相应的非线性阈值函数（双变量收缩函数）。
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。
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 we will introduce some common-used filtering techniques. Particle filter which is based on Bayesian estimation and Monte Carlo method will be emphasized.
然后我们介绍了常用的滤波技术，重点是以贝叶斯递推估计和蒙特卡罗方法为基础的粒子滤波。
This is just what cannot be done in classical statistics. The application of Bayesian estimation to decision making will be more profitable, if business forecasting is available.
贝叶斯估计值在决策方面的应用，需要有经济预测资料，这样才使决策选定的方案在实践中能够取得最大的经济效益。
In this paper, the conditional mean and its applications to Bayesian estimation of the parameters and reliability measures of weibull distribition and power-law process are discussed.
近年提出的广义幂律过程在可靠性分析中有着广泛的应用，它常用于描述复杂系统和软件的可靠性增长模型。
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 subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.
图像的小波系数具有很强的非高斯统计特性，可以建立推广的拉普拉斯先验分布，用贝叶斯估计对图像小波系数滤波来达到降噪目的。
Upon this frame, use matrix Lie group to express the rotation space, then base on Bayesian estimation framework, calculate the minimum mean squared error bounds which use the matrix Lie groups.
在这种框架中，利用李群来表示旋转空间，然后基于贝叶斯估计结构，计算了利用李群的表示的最小均方误差估计性能界限。
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 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。
Then, Bayesian parameter estimation algorithm was applied to fuse multi-characteristic information.
利用贝叶斯参数估计算法进行多特征信息融合。
We use Bayesian maximum a posteriori estimation training a speaker model from background model, to solve the problem of model miss matching in speaker verification system.
采用贝叶斯最大后验概率估计的方式，从统一背景模型中生成说话人模型。
And then this thesis summarized the parameter estimation methods of the quantile regression models including Bayesian analysis, and introduced the calculation and evaluation methods of VaR in detail.
然后总结了分位回归模型的参数估计方法和贝叶斯理论分析，并详细归纳了风险价值的计算方法、评价方法。
This thesis focuses on the image restoration in Bayesian framework, which mainly contains research on model parameter estimation, image denoising, and image deblurring.
本论文研究的重点是贝叶斯框架下的图像恢复问题，包括了参数估计、图像降噪和图像去模糊等。
An estimation method of system reliability based on Bayesian statistical theory is presented in consideration of the uncertainty of component reliability estimates for distributed monitoring systems.
以贝叶斯理论为依据，考虑元件可靠性评估不确定性的影响，建立分布式监测系统的系统可靠性评估方法。
To improve the accuracy and speed in cycle-accurate power estimation, this paper USES multiple dimensional coefficients to build a Bayesian inference dynamic power model.
为改善周期精确级功耗分析的准确度和速度问题，使用多维特征参数建立贝叶斯推理的动态功耗模型。
The most important factor would be the selection of the model in Bayesian spectrum estimation, that is the conclusion.
贝叶斯频谱分析中模型的选取是决定性的因素。
A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinear stochastic system with white noises.
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.
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。
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