从确定性干扰的内模观点导出了适用于线性随机受控对象的最优滑动滤波器。
The optimal moving average filter for the linear stochastic controlled plant is developed from the viewpoint of the internal model of the deterministic disturbance.
针对激光雷达一维距离像的目标识别，提出了利用最小二乘估计器和线性滑动更新器构造滤波器的算法。
A new arithmetic approach to the target identification of lidar range image was introduced by using the least squares estimation and linear glide updater for the design of a filter.
其中内部动态元分别由带有局部激活反馈和局部输出反馈的自回归滑动平均滤波器构成。
The internal dynamic elements are auto-regressive moving average filters with local activation feedback and local output feedback, respectively.
采用滑动脉冲的方式进行MT I滤波器设计，并利用遗传算法搜索最优参差码，有利于检测陷在滤波器第一零点里的弱目标。
The filter is designed by slipping pulses and the optimal stagger code is selected by GA, so the weak target in first notch can be detected.
采用滑动脉冲的方式进行MT I滤波器设计，并利用遗传算法搜索最优参差码，有利于检测陷在滤波器第一零点里的弱目标。
The filter is designed by slipping pulses and the optimal stagger code is selected by GA, so the weak target in first notch can be detected.
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