PMSM_3HP_drives

Implementation of cl_page for LOVSUB layer.

Gaussian white noise stimulus

一个强大的自适应boosting算法，十分经典，matlab实现，绝对超值，可以改编成其它语言。(A powerful adaptive boosting algorithm, very classic, matlab realize, absolute value, and can be adapted to other languages​ ​ .)

白噪声下的线谱估计算法仿真，包括周期图法、AR模型法、MUSIC算法等。(Line under the white noise spectrum estimation algorithm simulation, including the cycle diagram method, AR model method, MUSIC algorithm.)

Matrix Cook Book. Deriving matrixed etc Useful for various mathematical needs

MATLAB M文件调用SIMULINK完成LDPC误码率仿真(MATLAB M SIMULINK LDPC BER SIMULATION)

多元统计分析中的因子分析的代码，比较简洁(code of factor analysis in multiple statistics analysis)

this gives you detailed abt the active power filter and its used. You can mitigates the harmonics by using a active power filter.

《MATLAB 7.X程序设计》-王建卫-源代码及习题答案，用以初学者(" MATLAB 7.X programming" - Wang Wei- the source code and problem sets for beginners)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)