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法方程
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  normal equation
    3. The method of block adjustment is employed to estimate parameters. The method of parameters elimination is introduced to eliminate the receiver clock error and the satellite clock error, accordingly, the dimension of normal equation is reduced effectively.
    3.运用分区平差法估计参数,利用参数消去法消去卫星钟差和接收机钟差参数,有效的减少了法方程的维数;
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    The causes of rank defect of normal equation are analyzed, and then the problems are solved by advancing different method to different causes.
    分析了法方程出现秩亏的可能原因,针对不同的原因提出了解决办法。
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    This paper addresses the problem of identification of a moving average system based on higher-order cumulant alone, and proposes a new method for parameter estimation,including a new normal equation approach and a new closed-form recursive solution. Simulation examples show high resolution of this paper's method.
    本文研究仅使用高阶累量辨识MA系统的问题,并提出了参数估计的新方法(一种法方程方法和一种闭式递推解).仿真例子证明了新的法方程方法的高分辨性能。
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  “法方程”译为未确定词的双语例句
    Firstly,the signal processing method based on a single snapshot data is demonstrated,the method of constructing the equations for solving the weight is introduced,and the expression for the reconstructed desire signal and the formula for the adaptive pattern are given.
    文中首先阐述了基于单次快拍数据的信号处理方法 ,介绍了构造权矢量法方程的方法 ,给出了系统恢复期望信号的表达式和形成自适应方向图的公式 .
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  normal equation
Canonical form of the fourth degree homogeneous part in a normal equation of a real hypersurface in
      
Determination of a Homogeneous Strictly Pseudoconvex Surface from the Coefficients of Its Normal Equation
      
Based on the normal equation circuit of LIM considering the dynamic end effect, an equivalent circuit model with compensation of large end effect is constructed when the end effect force at synchronism is of braking character.
      
The characteristics of the normal equation created in recovering the Earth gravity model (EGM) by least-squares (LS) adjustment from the in-situ disturbing potential is discussed in detail.
      
It can be concluded that the normal equation only depends on the orbit, and the choice of a priori gravity model has no effect on the LS solution.
      
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A on-line least squares identrfication method is proposed for the parameter estimation of a timevariable system by introducing a filter factor to suppress exponentially previous measurements.The method is developed based on Houscholder transformation rather than normal equation of the over—de- termined equation so as to avoid deteriorating the ill-condition of the matrix.The fewer arithmetic operations, less storage requirements,and the betterconvergence are another three benefits of the method.In addition,the...

A on-line least squares identrfication method is proposed for the parameter estimation of a timevariable system by introducing a filter factor to suppress exponentially previous measurements.The method is developed based on Houscholder transformation rather than normal equation of the over—de- termined equation so as to avoid deteriorating the ill-condition of the matrix.The fewer arithmetic operations, less storage requirements,and the betterconvergence are another three benefits of the method.In addition,the proposed on-line leastsquares method can easily be extended to develop a serious of corresponding methodsbased on Houscholder transformation, such as the on-line generalized least squares method,the on-line multiple stage least squares method,the on-line argmented matrix method,the on-line maximum likelihood method and so on.

就利用衰减因子通过指数加权对历史数据进行渐消记忆的时变参数估计问题,提出基于正交变换的递推最小二乘法,避免了传统方法因求解法方程而导致的病态加剧问题.同时降低了运算量,改善了收敛性,节省了存贮空间.此外,以本文递推最小二乘法为基础,还可构成相应的递推广义最小二乘.多级最小二乘、增广矩阵法、极大似然法等一系列时变参数渐消记忆估计方法.

This paper addresses the problem of identification of a moving average system based on higher-order cumulant alone, and proposes a new method for parameter estimation,including a new normal equation approach and a new closed-form recursive solution.Simulation examples show high resolution of this paper's method.

本文研究仅使用高阶累量辨识MA系统的问题,并提出了参数估计的新方法(一种法方程方法和一种闭式递推解).仿真例子证明了新的法方程方法的高分辨性能。

This paper addresses the problem of identification of almost periodic time-varying moving average (APTVMA) systems using cyclic statistics. The nomal equation approches based on odd order time-varying cumulants are presentedfor parameters estimation. Model order detemination procedures based on time-varying and cyclic cumulants are also derived.Simulations are performed to illustrate performance of the presented methods.

本文利用循环统计量讨论几乎周期时变滑动平均(APTV-MA)系统的辨识问题提出了基于奇数阶时变累量的参数估计的法方程方法,并导出了基于时变累量和循环累量的系统模型定阶方法.仿真实验说明了本文所提方法的性能.

 
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