Asymmetrical_Inverter_sinalePhase

matlab编写的调整svm参数的程序，其中cross是主程序，另两个是自己编写的svm核函数，如果要用matlab自带的核函数就把-t的值改成2即可。Ytrain是标记矩阵，Xtrain是特征矩阵，都由用户自己导入。可利用k倍交叉验证来选择最优的c参数。k可自行更改。(svm matlab prepared to adjust the parameters of the program, which cross the main program, and the other two are themselves prepared svm kernel function, if you use the value of the kernel function matlab own put-t can be changed to 2. Ytrain is labeled matrix, Xtrain is characteristic matrix, imported by the users themselves. K-fold cross-validation can be used to select the optimal c parameter. k can make changes.)

建立matlab与kingview之间的dde连接(Finsh the DDE connection between matlab and kingview)

一种间接的估计信号的1.5维谱的方法，1.5维谱可以有效的抑制高斯噪声，加强低频分量。(An indirect estimate of the signal spectrum of 1.5-dimensional method, 1.5-dimensional spectrum can effectively suppress Gaussian noise, to enhance low frequency components.)

电力系统短路计算程序，用来进进行不对称短路计算。可直接使用。 (Power system short-circuit calculation procedure used for calculation of asymmetric short-circuit. Complete source code can be used directly. )

说明：  为作业最终的仿真结果与分析 PL_free.m：free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B(120km/hr) channel model AWGN.m: create AWGN channel object(The final for the job simulation results and analysis PL_free.m: free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B (120km/hr) channel model AWGN.m: create AWGN channel object)

胡广书《现代信号处理》，现代信号处理的经典教材，内附书中的源程序(Hu Guang book " Modern signal processing," the classic textbook of modern signal processing, source code included in the book)

说明：  Jocobi算法，计算矩阵的特征向量和特征值。(Jocobi algorithm, computing matrix eigenvectors and eigenvalues.)

说明：  数值计算方法理论 比较早的一本书 549页(Earlier theory of numerical methods in a book 549)

ODE function 求解一阶线性常微分方程(ODE function for solving first-order linear ordinary differential equations)

GLCM gray level cooccurrence matrix