1·The correlation algorithm in training period and the LMS algorithm in run period can be combined in the identical transversal filter structure, so that it speeds up the channel estimator convergence.
训练阶段的相关算法与工作阶段的LMS算法可结合在同一个横向滤波器结构中，从而加速了自适应信道估计器的收敛过程。
2·In order to improve the accuracy of the estimator, oversampling technology is adopted.
为了提高估计器的精度，采用了过采样技术。
3·Neural Network is an estimator of adaptive resonance function, which is not dependent on models, and could fulfill arbitrarily functional relation without them.
神经网络是一个不依赖于模型的自适应函数估计器，不需要模型就可以实现任意的函数关系。
4·A channel estimator portion 42 USES known searching techniques to discern a channel impulse response.
信道估计器部分42使用已知搜索技术辨别信道脉冲响应。
5·The discussion includes linear regulator, state estimator, observer for a linear functional of state, and linear quadratic control with incomplete or noisy measurements.
讨论的问题包括线性调节器，状态估计器，状态线性函数观测器，及不完全或有噪声测量的线性二次控制。
1·We are discussing whether OLS estimator satisfy asymptotic normality.
我们讨论是否ols估计量满足渐近正态性。
2·We also try to improve pathwise estimator in order to reduce standard error.
我们还将尝试改进逐路径估计量，以求减小标准误差。
3·One kind of heteroscedasticity testing method was proposed through extreme value theory and extreme value index estimator.
应用极值理论，通过极值指数估计量，提出了一种可行的对异方差的检验方法。
4·In the third section, we have presented the main result of the paper, namely the uniformly strong convergence rates for each estimator.
第三节给出了本文的主要结果，即各估计量的一致强收敛速度。
5·This estimator achieves very good gradual validity.
此估计量能够达到很好的渐进有效性。