my_zfft_m

PCA的步骤： 1 先将数据中心化； 2 求得的协方差矩阵； 3 求出协方差矩阵的特征值与特征向量； 4 将特征值与特征向量进行排序； 5 根据要降维的维数d’,求得要降维的投影方向； 6 求出降维后的数据； (PCA steps: 1 of the first data center 2 covariance matrix obtained 3 obtained covariance matrix eigenvalues and eigenvectors 4 eigenvalues and eigenvectors will be sorted 5 according to the dimension of dimension reduction d ' , seek to reduce the dimension projection direction 6, the data obtained after the dimensionality reduction )

帮助大家了解矩阵的基础知识 (matrix )

说明：  对给定传递函数，进行模糊PID程序仿真例程，函数调用与编写(For a given transfer function, the fuzzy PID program simulation routines, function calls and written)

说明：  海量数据导入与导出MATLAB的有效方法(Import and export huge amounts of data and effective method of MATLAB)

应用于系统辨识中，增广最小二乘法辨识程序的m文件。(System identification, augmented least squares identification procedure m files.)

可以解出一个线性矩阵不等式中的未知矩阵。(Can solve a linear matrix inequality in the unknown matrix.)

spatial high pass filter

cycloconverter powersim buena simulacion

频域分解法在MATLAB中的应用，模态参数识别，先滤波，再FDD(frequency domain decomposition)

将Excel里面的大量数据导入MATLAB软件里面进行画图(A large amount of data in Excel is imported into MATLAB software for drawing)