| 1. | An expression on likelihood function of normal distribution ma sequence
序列的似然函数的一种表示 |
| 2. | Maximum likelihood function
最大概似法 |
| 3. | Log likelihood function
对数概似函数 |
| 4. | We construct cost function which combines the likelihood function and boundary constraint function
它利用似然函数和边界约束方程构造代价函数，来描述区域特征。 |
| 5. | So the likelihood function of the differential phase peaks can be formed as means to identify m - ary psk
于是可利用相位突变峰值的似然函数来识别信号为哪一种进制的psk信号。 |
| 6. | Computation the likelihood function requires using the correspondences between extracted and predicted features
为了计算该似然函数，需要利用提取特征矢量和预测特征矢量之间的对应关系。 |
| 7. | The model - based sar target classifier that uses feature accomplishes classification by computing the likelihood function between extracted and predicted features
利用特征基于模型的sar目标分类方法，通过计算提取特征矢量和预测特征矢量之间的似然函数达到目标分类的目的。 |
| 8. | However , as the mle requires obtaining the parameters of the high order non - linear likelihood function when it reaches the global maximum , this makes the mle approach has very huge calculation burden
但是，由于最大似然方法需要求解一个高度非线性函数在取得最大值时的参数，使得该方法的计算量是十分巨大的。 |
| 9. | Considering that the optimization algorithm based on gradient information is powerless in multivariate garch modeling , we use genetic algorithm to optimize the likelihood function of multivariate garch model
针对传统的基于梯度信息的优化算法在多元garch模型估计中的不足，将遗传算法引入多元garch建模研究，给出了算法设计。 |
| 10. | By the help of matrix and difference equation , we give an expression of likelihood function of normal distribution ma ( 0 , 1 ) sequence , which has important application in mordem control theory
借助矩阵和差分方程，具体给出了在实际中具有重要应用的一类数学模型? ?正态ma ( 0 ， 1 )序列的似然函数的一种显式表示，即具体表示成了模型参数的函数 |
