提出了利用自由节点样条函数来改善多项式最小二乘滤波器设计的模型和方法。
A novel model based on free node spline function is put forward to improve the design of the polynomial least square filter.
提出了一种利用基于距离参数的最小二乘滤波器群的纯方位跟踪目标参数估计器，该估计器是由若干个处地不同的距离区间上的加权最小二乘滤波器组成。
In this paper, a new bearings only tracking approach, which consists of a set of weighted least squares filters (LSF) each with a different initial range estimate, is proposed.
文章讨论如何根据最小二乘原理和回归模型设计出自适应滤波器，以用于消除图像噪声。
This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression model.
应用推荐