提出了一种贝叶斯估计和尺度空间滤波相结合的滤波方法。
This paper proposes a method of denoising by the use of jointing Bayes estimation and scale space filtering.
将后验均值作为贝叶斯估计值后，便得到损失频度与强度分布。
After posterior mean is exploited as Bayesian estimate, loss frequency distribution and severity distribution are gotten.
本文主要探讨利用贝叶斯估计法改进特尔斐预测精确度的可能性。
This paper primarily deals with the possibility to improve the forecast precision for Delphi method by use of Bayes' estimation.
贝叶斯估计较好地保留了信号的边缘信息，但滤波信号尚不够平滑。
The denoised signal can preserve the edge's location and shape of the original signal, but it is not smooth enough.
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。
It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.
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）。
The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.
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。
An assessment technique that assesses vehicle dynamic performance using the data of rail measurement was developed by Bayesian estimation principle.
然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。
In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.
根据统计分析和贝叶斯估计结果，建议了强度等级为C20和C30再生混凝土抗压强度的标准值与标准差的取值。
Based on the results of Bayes estimations, the standard deviations for the compressive strength of RAC with strength grades of C20 and C30 were proposed.
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。
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.
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 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.
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。
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.
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。
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.
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 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.
由于模型参数的后验条件分布没有确定的分布形式，通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。
The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.
首先利用非对称的LINEX损失函数对双指数分布族刻度参数进行了经验贝叶斯估计，并讨论了该估计的性质，给出了收敛速度。
First, we obtain the empirical Bayesian estimator of the scale parameter for the double exponential distribution based on LINEX loss function and the convergence rate of the estimate.
方法运用实例和模拟数据说明传统方法灵敏度和特异度的有偏估计，并运用最大似然估计和贝叶斯估计对灵敏度和特异度进行校正。
MethodsComparing the estimate of sensitivity and specificity by traditional, frequency and Bayesian method. The estimators are illustrated using data from reviewing issues and simulating the data.
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。
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.
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。
Then we will introduce some common-used filtering techniques. Particle filter which is based on Bayesian estimation and Monte Carlo method will be emphasized.
基于贝叶斯理论，提出采用概率的方法来估计泊松曲线的参数。
Based on the Bayesian theory, a probability method was proposed to estimate the parameters of the Poisson curve.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields (MRFs) models.
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。
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.
用贝叶斯推理问题为实验材料，探讨了主体关联性对贝叶斯推理概率估计的影响。
Bayesian tasks were used in the present study to explore the influence of subject relevancy on Bayesian reasoning.
首先，使用一个有效的近似贝叶斯模型类的选择方案来估计并发事件数目。
First, an efficient approximate Bayesian model class selection scheme is used to estimate the number of concurrent events.
利用贝叶斯参数估计算法进行多特征信息融合。
Then, Bayesian parameter estimation algorithm was applied to fuse multi-characteristic information.
文章介绍了一种改进的敏感性问题随机化回答模型，并把贝叶斯方法用于该模型的参数估计，最后得出了参数的近似解。
This paper introduces an advanced random response model in sensitive question, and uses Bayesian methods in valuing the parameter, and finally obtains the parameter approximation.
最后提出一种改进的贝叶斯算法融合多视觉信息来估计驾驶员的疲劳程度。
Finally, we propose an improved Bayesian algorithm to estimate driver's fatigue over integration of visual information.
本文运用贝叶斯观点，讨论在产品的研制改进试验中，被试系统的可靠性估计问题。
The problem of estimating the reliability of a system which is undergoing development testing is considered from a Bayesian standpoint.
进一步研究了基于吉布斯抽样的贝叶斯最大后验概率方位估计方法。
Bayesian maximum a posterior DOA estimator based on Gibbs sampling (GSBM) is further investigated.
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