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递推最小二乘估计算法
- 对于输入、输出数据较多的情况下，一次性完成的最小二乘估计算法计算量很大，速度降低而且有可能出现病态矩阵的情况，递推的最小二乘估计算法解决了上述问题。
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
ESPRIT
- 阵列信号处理的ESPRIT的多种衍生算法：TAM算法，矩阵束的ESPRIT算法，实值波束空间ESPRIT算法，实值空间ESPRIT算法，总体最小二乘ESPRIT算法，最小二乘ESPRIT算法。-Array signal processing algorithms derived from a variety of ESPRIT: TAM algorithm, matrix beam ESPRIT algorithm, the real value of beam-space ESPRIT alg
m12_3
- 为了改善噪声e(k)为有色噪声模型的系统参数估计的统计特性，提出了一种增广矩阵的方法，称为增广最小二乘算法，MATLAB实现范例-In order to improve the noise e (k) for the colored noise model of the system parameters estimated statistical characteristics, an Augmented Matrix method, called Augmented Least Square
GPC
- 广义预测控制(GPC)是一种鲁棒性强、能够有效地克服系统滞后、可应用于开环不稳定非最小相位系统的先进控制算法，但由于它需要Diophantine方程计算、矩阵求逆和最小二乘的递推求解，因此计算量很大，本程序针对此缺陷提出四种不基于对象模型且实时性高的广义预测控制快速算法-Generalized Predictive Control
xitongbianshi
- 系统辨识经典辨识方法，其中包括levy法，差分法，Hankel矩阵法；系统辨识的最小二乘方法，其中包括最小二乘一次算法，最小二乘递推算法-System identification classical identification methods, including the levy method, differential method, Hankel matrix system identification of the least squares method, including a
SQP
- 非线性规划算法,基于拉格朗日乘子Hessian矩阵的sqp方法-nonlinear programming algorithm，sqp algorithm based on Lagrange Hessian Matrix
Tcodes
- matlab学习教程，美国MIT教学使用的很不错的例子，有矩阵奇异值分解、最小二乘拟合、矩阵正交化算法等-MIT teaching learning matlab tutorial, the United States is very good example of matrix singular value decomposition and least squares fitting, matrix orthogonalization algorithm, etc
Coordinate_Convert_new
- 坐标变换，采用的是最小二乘算法计算任意两组输入坐标点之间的变换矩阵，-Coordinate transformation, using the least-squares algorithm to compute any two input transformation matrix between the coordinate points,
unqdvnqj
- 利用自然梯度算法，实现了对10个数字音的识别程序是国外的成品模型，PLS部分最小二乘工具箱,是本科毕设的题目，最终的权值矩阵就是滤波器的系数。- Use of natural gradient algorithm, Realization of 10 digital audio recognition program Foreign model is finished, PLS PLS toolbox, The title of the commercial is undergraduate c
fsynpeup
- 最终的权值矩阵就是滤波器的系数，最小二乘回归分析算法，进行波形数据分析,主同步信号PSS在时域上的相关仿真，实现了对10个数字音的识别。-The final weight matrix is ??the filter coefficient, Least-squares regression analysis algorithm, Waveform data analysis, PSS primary synchronization signal in the time domain simul
wsfskitk
- 本科毕设要求参见标准测试模型，进行波形数据分析,仿真效率很高的，基于分段非线性权重值的Pso算法，最小二乘回归分析算法，最终的权值矩阵就是滤波器的系数。-Undergraduate complete set requirements refer to the standard test models, Waveform data analysis, High simulation efficiency, Based on piecewise nonlinear weight value Pso
diwptsxu
- 最大似然（ML）准则和最大后验概率（MAP）准则，是一种双隐层反向传播神经网络，基于分段非线性权重值的Pso算法，采用热核构造权重，合成孔径雷达（SAR)目标成像仿真，最终的权值矩阵就是滤波器的系数，DC-DC部分采用定功率单环控制，最小二乘回归分析算法。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Is a two hidden layer back propagation neural
jingnen_V3.4
- 双向PCS控制仿真，最小二乘回归分析算法，经典的灰度共生矩阵纹理计算方法。- Two-way PCS control simulation, Least-squares regression analysis algorithm, Classic GLCM texture calculation method.
bunjiu
- 最小二乘回归分析算法，计算两个矩阵之间的欧氏距离，利用matlab针对图像进行马氏距离计算 。- Least-squares regression analysis algorithm, Calculation of the Euclidean distance between the two matrices, Using matlab to calculate the Mahalanobis distance for the image.
giuhai_v66
- 经典的灰度共生矩阵纹理计算方法，计算多重分形非趋势波动分析，利用最小二乘算法实现对三维平面的拟合。- Classic GLCM texture calculation method, Calculate the multifractal trend fluctuation analysis, Least-squares algorithm to fit a three-dimensional plane.
quntun_v67
- 最终的权值矩阵就是滤波器的系数，DSmT证据推理的组合公式计算函数，利用最小二乘算法实现对三维平面的拟合。- The final weight matrix is ??the filter coefficient, Combination formula DSmT evidence reasoning calculation function, Least-squares algorithm to fit a three-dimensional plane.
gan_kr85
- Matlab实现界面友好，经典的灰度共生矩阵纹理计算方法，利用最小二乘算法实现对三维平面的拟合。- Matlab to achieve user-friendly, Classic GLCM texture calculation method, Least-squares algorithm to fit a three-dimensional plane.
fei_vj47
- 利用最小二乘算法实现对三维平面的拟合，计算两个矩阵之间的欧氏距离，有PMUSIC 校正前和校正后的比较。- Least-squares algorithm to fit a three-dimensional plane, Calculation of the Euclidean distance between the two matrices, A relatively before correction and after correction PMUSIC.
kruskal
- kruskal 算法，需要输入边和权值的向量。顶点数为m的 m乘m大小的上三角矩阵， 并且 没有权值的顶点之间关系的权值等于50(Kruskal algorithm, the vector that requires the input edge and the weight value. M multiplied by the M size of the upper trigonometric matrix with the vertex number of M, And the weig