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系统辨识的最小二乘递推算法、辅助变量法、增广最小二乘法及偏差补偿法的matlab程序设计实例。,Recursive least squares system identification algorithm, auxiliary variables, the least square method and the augmented error compensation law matlab programming examples.
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用最小二乘法实现的仿射变换的程序，很好用的。-The least square method to achieve affine transformations of the program, very good use.
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使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation
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分别用最小二乘法和svd-tls法对arma过程进行功率谱估计并比较结果。包含实验目的，步骤，程序，结果，分析。-Least square method, respectively, and svd-tls on arma-power spectrum estimation process and the results of the comparison. Contains experimental purposes, steps, procedures, results, analysis.
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ARMA谱估计-AR参数估计的总体最小二乘法-ARMA spectral estimation-AR parameter estimation of the overall least square method
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强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
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序惯最小二乘法，能够实现比最广二乘法好的结果-Sequential least square method, can achieve more than the most widely II multiplication good results
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使用自编函数基于奇异值分解总体最小二乘法（svd-tls）实现AR模型谱估计
-The use of self-functions in general based on singular value decomposition least square method (svd-tls) to achieve AR model spectrum estimation
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多部预测自校正控制的算法仿真程序，用matlab写的。用的RLS带遗忘的最小二乘法递推。-Forecast for more than self-tuning control algorithm simulation program, written using matlab. Used in the RLS with forgetting recursive least square method.
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最小二乘法用于分形维数中的计算，应用于c下-Least square method
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基于morlet小波的最小二乘匹配追踪算法-morlet-based least-square matching pursuit algorithm
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高斯赛德尔迭代法，高斯消去法，龙贝格算法，龙格-库塔算法，雅各比迭代法，二分法，最小二乘法……等常用数值算法-Gauss Sider method, Gauss elimination method, Romberg algorithm， Runge- Kutta algorithm, Jacobi iterative method, the dichotomy, the least square method and so on ... ... commonly used numerical
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this program is very useful for the comparison of lms and recursive least square method for beamforming in the application of wireless communication
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黎曼流形上的优化算法。目标函数定义在黎曼流形上，在流形上利用梯度下降等进行优化-Provides four iterations for optimization on the Steifel and Grassmann manifolds:
dog-leg steps
Polak-Ribiere nonlinear CG
Fletcher-Reeves nonlinear CG
Newton s method
Contains applications for n
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最小二乘法是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。-Least squares method is a mathematical optimization techniques. It matches by squaring and finding data to minimize t
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基于matlab最小二乘一次完成算法和递推算法的实现-the realiztion of the least square method
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采用最小二乘法，对威布尔分布进行参数估计和可靠性曲线的拟合-least square method reliability curve weibull distribution
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MATLAB实现最小二乘法，参照源码可以理解最小二乘法，可以举一反三，这样会跟容易编程和理解最小二乘法定义-least square method,this is the origin code.So,you can learn well and understand the least square method better
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在模型阶数和时滞已知与未知情况下，系统辨识与建模的5种最小二乘法。-5 kinds of least square method for system identification and modeling in the model order and time delay are known and unknown.
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numerical method least square method source code
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