On the basis of analyzing the motion characteristic of the horizontal layer foundation and using the identification theory of the least square method, the identification method of the layer foundation parameters is established by solving iteratively the input motion acceleration value.

In this paper, Using popov theory of super stability, the author puts forward the method of self-adapted parameter estimation for reference models which is different from the thought of discrimination on least square class.

Research on data fusion algorithm of redundancy information based on least square method

The relative coordinate for straightness error is set up, the discrete values in coordinate are linked based on least square method, then coordinate transform is realized, some eddy genes and contained area conforming to least condition are confirmed using numerical method, the evaluation of straightness error is achieved by compare.

A spatial error concealment based on least square filter;

Application of non-uniform B-spline least square in GPS leveling height fitting;

An Algorithm associated with Least Square (LS) and Adaptive Kalman Filtering;