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1)  without knowledge of noise covariance
噪声方差未知
2)  unknown noise
未知噪声
3)  unknown variance
方差未知
1.
In the case of the independent random samples from n normal populations with a commonbut unknown variance, the likelihood ratio (LR) test that normal mean vector lies in the positiveorthant against the negative one is possible under mild conditions, and a new distribution, namedBeta Star distribution, which is found and used to determme the distribution of the LR Statistic.
样本来自于n维独立正态分0布,在方差未知情况下,偏侧均值的最大似然估计在特定约束条件下是可能的,此估计由新的分布所决定,新分布为β*分布。
4)  noise variance
噪声方差
1.
New Method of Image De-noising through Wavelet Shrinkage Based on Estimate of Noise Variance;
基于噪声方差估计的小波阈值图像去噪新方法
2.
The estimator presents both the estimate of instantaneous RDS and the estimates of noise variance, channel power and SNR of current channel with low computational comp.
该估计器能以较低的计算复杂度给出RDS、噪声方差、信道功率和信噪比等多个实时信道参数的准确估计。
3.
An adaptive algorithm of noise variance self-learning and optimization is presented,which utilizes not only the thought of the estimation of the MLE and spatial-temporal synthetical analysis,but also the recursive characteristic of kalman filtering algorithm.
简单介绍了卡尔曼滤波算法,针对噪声方差预先设定对卡尔曼滤波算法及改进算法的不利影响,运用极大似然估计与时空综合分析思想相结合,同时利用卡尔曼滤波算法的递推特性,推导出了一种滤波过程中噪声方差自学习优化的自适应滤波算法。
5)  variance of noise
噪声方差
1.
The fixed point iteration is employed when we restore the image by total variation,and we propose to select the regularization parameter by variance of noise in the iteration.
采用定点迭代进行变分图像恢复并在这个计算框架下提出利用噪声方差选择规整化参数的方法。
6)  unknown noise environments
未知噪声背景
补充资料:络多未知
【络多未知】
 (杂语)译曰赤泥。伽蓝名。西域记十曰:“络多未知僧伽蓝Raktamr!ttikasamgharama(Raktaviti),唐言赤泥。”
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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