The WH class is an implementation of the Widrow-Hoff. The Widrow-Hoff (WH) algorithm, often called Least Mean Square (LMS), is an online-algorithm. The WH can be interpreted as a gradient descent procedure on the error space. In other words, the

利用已知点在不同坐标系下的坐标值，根据最小二乘法的原则，求出七参数，实现不同空间直角坐标系的转换。(According to the principle of the least square method, seven parameters are obtained by using the coordinate values of known points in different coordinate systems to realize the transformation of dif