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Householder
- Householder法求解最小二乘问题。可以避免常规方法遇到奇异矩阵(即行列式|A|接近零)时误差太大的问题。本方法的精度非常高。-Householder method least squares problems. Avoid conventional methods encountered singular matrix (that is determinant | A | close to zero) error much of a problem. The accuracy of th
SVD
- ％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分
MSLS
- （1）Msls分三步对系统和噪声模型进行辨识，采用脉冲序列作为辅助系统模型，用 计算输出数据 ；用原输出数据 计算 ，用递推最小二乘方法分别对系统参数和模型参数进行估计。 （2）M.dat,wnoise1.dat分别为M和白噪声序列。Wnoise1.dat的长度为700，wnoise2.dat的长度为1000。Msls6.c为N=600的程序，Msls8.c为N=800的程序。 （3）程序运行后，生成的两个h文件为产生的脉冲响应函数。Msls6.dat为msls6.c的参数估计结果，ms
index_test
- 用于光学测量中测量玻璃的折射率的方法，其中包括了两种方法，V棱镜法和最小偏向角法，并进行了误差分析。-Measured for the optical measurement method of refractive index of glass, including the two methods, V-prism method and the minimum deviation angle method and error analysis.
lineerror
- 用最小包容区域法计算直线度误差，精度比最小二乘法高，适用于数据点在轴附近波动的情况。-Inclusive method to calculate the region with the minimum straightness error, precision higher than the least-squares method, applied to the data point in the shaft near the volatile situation.
vb
- vb代码,做最小差值的线性拟合和三次样条曲线拟合的vb代码，有说明,三次样条和最小误差法进行曲线拟合-vb code, so the minimum difference between the linear fit and cubic spline curve fitting of the vb code, descr iption, and minimum error of spline curve fitting method
DVHop
- 针对运用最小二乘法求解DV-Hop定位算法带来的节点定位误差较大的问题，提出基于代数重建法的DV-Hop定位算法-Least square method for the use of DV-Hop localization algorithm node localization errors caused by the larger issues, proposed algebraic reconstruction method based on DV-Hop localization algo
polyorder
- 最小二乘拟合，求多项式系数，包括建立误差方程、误差方程法化，迭代求解-Least squares fitting of a polynomial coefficient, including the establishment of error equation, the error equation, iterative solving
auxiliary-variables
- 用辅助变量法递推算法估计模型的参数.辅助变量估计是在模型误差为相关噪声的情况下通过引入辅助变量矩阵对线性最小二乘估计的一种改进。 -Recursive algorithm to estimate model parameters using instrumental variables method. Auxiliary variables is estimated that in the case of the model error is related to an improveme
hunsun_v42
- 最小均方误差等算法的MSE的计算,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，使用大量的有限元法求解偏微分方程。- Minimum mean square error MSE calculation algorithm, PV modules contain, MPPT module, BOOST module, inverter module, Using a large number of finite element method to solve partial diffe
gaobou
- PLS部分最小二乘工具箱,MIMO OFDM matlab仿真,预报误差法参数辨识-松弛的思想。- PLS PLS toolbox, MIMO OFDM matlab simulation, Prediction Error Method for Parameter Identification- the idea of relaxation.
goupou_v46
- 基于chebyshev的水声信号分析，ML法能够很好的估计信号的信噪比,最小均方误差等算法的MSE的计算。- Based chebyshev underwater acoustic signal analysis, ML estimation method can be a good signal to noise ratio, Minimum mean square error MSE calculation algorithm.
lengjun_v47
- ML法能够很好的估计信号的信噪比,最小均方误差等算法的MSE的计算,可以得到很精确的幅值、频率、相位估计。- ML estimation method can be a good signal to noise ratio, Minimum mean square error MSE calculation algorithm, You can get a very accurate amplitude, frequency, phase estimation.
nenjai
- 最小均方误差（MMSE）的算法，最小二乘回归分析算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Minimum mean square error (MMSE) algorithm, Least-squares regression analysis algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
kankou_v83
- 利用matlab写成的窄带噪声发生，最小均方误差（MMSE）的算法，ML法能够很好的估计信号的信噪比。- Using matlab written narrowband noise occurs, Minimum mean square error (MMSE) algorithm, ML estimation method can be a good signal to noise ratio.
taotiu_V4.4
- 最小均方误差（MMSE）的算法，包括AHP，因子分析，回归分析，聚类分析，包括最小二乘法、SVM、神经网络、1_k近邻法。- Minimum mean square error (MMSE) algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Including the least squares method, the SVM, neural networks, 1 _k neigh
kk632
- 数学方法是部分子空间法，基于matlab GUI界面设计,最小均方误差（MMSE）的算法。- Mathematics is part of the subspace, Based on matlab GUI interface design, Minimum mean square error (MMSE) algorithm.