Factor-analysis

metodo para resolver polinomios, metodo de la biseccion

SVPWM的一个模型，可以仿出来，希望对人有所帮助(SVPWM of a model that can fake out, want to help people)

转载matlab的学习经验供新手参考，对你也许会有用！(Reprint matlab novice learning experience for reference, may be useful for you!)

Digital Image Processing Using Matlab Additional Material

matlab仿真中的（2,1,2）卷积码和维特比译码的码源。(matlab simulation (2,1,2) convolutional code and Viterbi decoding of the code source.)

z-source inverter simulink model

K_Means聚类算法matlab实现，包含三个子函数，可用在图像处理中(K_Means clustering algorithm matlab realize, including three sub-functions that can be used in image processing)

数字信号处理，用matlab来实现对信号的处理，这本书 是基础，手把手的教你(Digital signal processing, using matlab to achieve signal processing, this book is the basis, teach you hands-on)

完成自适应滤波器LMS的过程,根据输入的期望信号和滤波器阶数完成输出信号LMS滤波( completed,LMS filter output signal is completed in accordance with the desired signal and the input of the filter order)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.