The direct form for the recursive least squares estimation via matrix QR decomposition with one step data updated is given .
给出了当数据一步更新时，利用矩阵QR分解进行最小二乘估计的直接递推形式。
An efficient method for testing the band width of actuator, weighted recursive least squares identification arithmetic, is presented in this paper.
本文讲述的是一种应用加权递推的最小二乘辨识算法测试舵机带宽的实用方法。
This paper proposes an adaptive decision feedback equalizer (ADFE) based on mixed sliding-exponential window recursive least squares (SEWRLS) algorithm.
本文给出一种基于混合滑动——指数窗递归最小二乘(SEWRLS)算法的自适应判决反馈均衡器(adfe)。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
In this adaptive inverse control mechanism, the inverse model is updated through recursive least squares algorithm, and controller is adjusted online according to method of filter.
在这种自适应逆控制机制中，逆模型通过递归最小二乘算法更新，控制器依据-滤波进行在线调整。
There are two kinds of algorithmic structures for the method of weighted recursive least squares (WRLS) corresponding to the matrix reversing (MR) formula or the QR decomposing theorem.
对应于矩阵反演公式及QR分解定理，加权最小二乘法(WRL S)存在两类不同的算法结构。
This system USES Dual Port Random Access Memory (DPRAM) to realize the communication between two processors and chooses the recursive least error squares (RLES) algorithm.
该系统利用双端口ram (DPRAM)实现两处理器的通信，运用递推最小二乘法实现保护算法。
An adaptive recursive partial least squares (RPLS) monitoring scheme is proposed to improve the time-variant tracking power of the statistical quality monitoring (SQM) systems.
提出一种新的基于递推部分最小二乘(RPLS)算法的自适应在线质量监控策略。
A recursive formula for orthogonal projections and its application to the least squares problem are introduced in this paper.
本文介绍一个计算直交投影的递推公式，并介绍如何用其求解线性最小二乘问题。
It is usually required that the design matrix is column full rank in applying recursive weighted least squares algorithm.
通常在使用递推加权最小二乘算法时，需要设计矩阵列满秩。
By combining the key term separation principle with the auxiliary model idea, we can obtain the single innovation recursive extended least squares identification algorithm.
将关键变量分离原理和辅助模型思想相结合，得到单新息递推增广最小二乘辨识算法。
A new recursive least-squares algorithm is proposed for estimating parameters of the bilin-ear model.
本文提出了一种全新的双线性模型参数递推估计算法。
A variable-order recursive extended least squares method and a new criterion of order estimation is derived in the paper .
本文给出变阶式递推增广的最小二乘法及阶估计准则。
Compared with the recursive extended least squares algorithms, the proposed two algorithms have fast convergence rates and can produce highly accurate parameter estimation.
与常规递推增广最小二乘算法相比，提出的方法具有更快的收敛速度，能产生更高精度的参数估计。
Compared with the recursive extended least squares algorithms, the proposed two algorithms have fast convergence rates and can produce highly accurate parameter estimation.
与常规递推增广最小二乘算法相比，提出的方法具有更快的收敛速度，能产生更高精度的参数估计。
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