Wishart

n.  威沙特

BNC.29916



双语例句

  1. Wishart continues in his journalist-father's footsteps.
    他追随父亲的脚步踏上了新闻记者之路。
  2. 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
  3. The Mixture Wishart Model and Classification of Multi-look Polarimetric SAR Images
    有限混合Wishart模型分类多视极化SAR图像
  4. Distribution abundance of meiobenthos in the Taiwan Strait CALCULATION OF THE SIZE OF MOMENT FOR WISHART DISTRIBUTION
    台湾海峡小型底栖生物数量的量分布Wishart分布的矩量计算
  5. Based on Kullback-Leibler distance, this paper gives conditions under which a matrix-Γ distribution is uniformly asymptotic normality. As a result, we obtain the condition that the Wishart distribution possesses uniformly asymptotic normality as well.
    相对于两个密度函数之间的Kullback-Leibler距离,本文获得了矩阵Γ分布一致渐近正态分布的条件,由于矩阵Γ分布包含了Wishart分布,因此我们也指出了Wishart分布一致渐近正态分布的条件。
  6. Study of Polarimetric Interferometric Unsupervised Wishart Classification of SAR Images
    SAR图像的极化干涉非监督Wishart分类方法和实验研究
  7. Distribution of the Square of Wishart Matrix and Its Properties
    Wishart矩阵的平方的分布及性质
  8. This new method not only reduces the compute, but also needs not apriority information of the targets compared with Wishart classifier.
    该迭代方法与基于Wishart距离的迭代分类方法相比,不需要矩阵的求逆运算和矩阵的对数运算,降低了迭代过程的计算量,也不再需要目标的先验信息,扩展了其适用范围。
  9. In this paper we discuss the distribution of the characteristic roots an vectors of the generalized wishart matrix and the maximum likelihood estimators of the characteristic roots and vectors of ∑.
    本文讨论了广义Wishart矩阵的特征根和特征向量的分布.以及∑的特征根和特征向量的最大似然估计。
  10. Distribution Density and the Properties Through the Two Transformations of Wishart Matrix
    Wishart矩阵在两种变换下的分布密度及有关性质
  11. On the covariance matrix of Wishart distribution
    关于Wishart分布的协方阵
  12. Firstly, a simple closed-form MIMO channel capacity formula is derived by using the eigenvalue distribution of Wishart matrix.
    首先,利用Wishart矩阵的特征值分布,导出了一个简单闭合的MIMO信道容量公式;
  13. Finally, Bayesian Wishart Autoregressive model is applied for depicting the time-varying correlation coefficient and discussing the volatility spillover effects between the stock market and the precious metal futures market.
    最后,利用贝叶斯Wishart自回归模型刻画了贵金属期货市场与股市的时变相关系数,并讨论的市场间的波动溢出效应。