matlab

最小二乘算法的简单例子，希望对大家有所帮助。(a simple of Least squares algorithm example, It may be Helpful.)

高斯函数应用很广泛，因其各列良好的不相干性等特点，被广泛应用到压缩感知等领域(Gaussian function is widely used, because of its good irrelevant columns, etc., are widely applied to areas such as compressed sensing)

讲述偏最小二程结合遗传算法的实现过程，利用MatLab语言编程实现(Two-way on the unbiased minimum genetic algorithm combined with the implementation process, the use of MatLab programming language implementation)

说明：  多径传输的源程序 matlab程序示例(multipath transmission of the source Matlab procedures example)

贝叶斯决策理论常用于模式识别中，这是最常用的一种贝叶斯决策的matlab原程序(Bayesian decision theory commonly used in the pattern recognition, This is the most commonly used a Bayesian decision-making procedures of the original Matlab)

各种资源分配算法实现，MIMO OFDM matlab仿真,正确率可以达到98％。( Various resource allocation algorithm, MIMO OFDM matlab simulation, Accuracy can reach 98 .)

说明：  若非奇异矩阵A能够分解为一个正交矩阵Q与非奇异上三角矩阵R的乘积，即： A=QR。则称其为A的QR分解。 实现QR分解的方法有很多种，包括Givens变换法，Householder变换法，Schemit正交化法。具体原理可以参考《矩阵论》（程云鹏，西工大出版）教材，这里仅给出三种实现QR分解的程序。(If nonsingular matrix A can be decomposed into a product of orthogonal matrix Q and nonsingular upper triangular matrix R, that is: A=QR. It is called QR decomposition of A. There are many methods to realize QR decomposition, including givens transformation, householder transformation, and scheme orthogonalization. The specific principle can refer to the teaching materials of matrix theory (Cheng Yunpeng, published by Xigong University). Here, only three kinds of QR decomposition procedures are given.)

MSPC分析，多变量过程统计控制,实验过程样本中的异常值检测(multivariable process statistical control)

matlab经典教程 内容为5个ppt文件 对于初学者不错(matlab program elements for the classic 5 ppt file good for beginners)

matlab仿真的STATCOM即svg滤波装置。(matlab simulation of the STATCOM that svg filter.)