与其它的迭代最小二乘相比，具有较小的稳态误差和良好的动态跟踪能力。
Compared with other RLS algorithms, it has smaller steady-state error and better ability of tracking dynamical parameters.
将白化滤波后的降维数据矢量看作是单用户的系统，研究了迭代最小二乘(ils)检测和最小均方误差(MMSE)检测。
Then, the whitened dimension-reduced data vector as a single user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched.
这种方法利用频域测量矩阵直接给出了圆度形状误差和回转误差的最小二乘解或最小均方误差解。
The least square solution and minimum mean square error(MMSE) solution for roundness error and spindle error was derived by measurement matrix in frequency-domain.
而广义移动最小二乘近似要求近似函数及其导数在所有节点处的误差的平方和最小。
However, the generalized moving least squares approximation makes require least squares approximation with regard to functional and its derivative value on all nodes.
本文通过将双基地声呐中发射和接收站的测量数据进行融合处理，提出了基于加权最小二乘估计（WLS）的双基地声呐定位优化算法，给出了算法的原理和误差分布。
Weighted least squares (WLS) localization algorithm for bistatic sonar was proposed by fusing the data of transmitter and receiver. The localization principle and error of the algorithm were given.
另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
本文还提出了一个新的评定指标：“最小二乘”均方误差，并对其作了初步的阐述和比较。
It also proposes and explains a new evaluating index-errors of "least squares" root-mean square.
基于迭代最小二乘原理，提出了辨识CARMA模型和输出误差模型参数的最小迭代算法。
Based on the iterative least squares principle, two least-squares-iterative algorithms are developed for CARMA models and output error models.
介绍了圆度误差分离中的频域最小范数混合解，这种混合解比最小二乘解和最小均方误差解具有更好的噪声抑制效果。
A new hybrid minimum norm solution in frequency domain was also considered, which is better in suppressing the impact of noise on error separation th...
介绍了圆度误差分离中的频域最小范数混合解，这种混合解比最小二乘解和最小均方误差解具有更好的噪声抑制效果。
A new hybrid minimum norm solution in frequency domain was also considered, which is better in suppressing the impact of noise on error separation th...
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