PROJETO_MAQUINA_INDUCAO

有限时域差分源程序，边界条件为各向异性完全匹配层（Upml）(FDTD source, boundary conditions for the anisotropic perfectly matched layer (Upml))

Improved Binary DAC Codec

MIMO_OFDM的信道估计，方法较多，性能很好，十分完整而强大的程序(MIMO_OFDM channel estimation methods are more good performance, very complete and powerful program)

说明：  matlab预处理程序，具体是杨氏干涉下条纹图像的预处理和算法的程序(matlab pretreatment procedures, specifically under the Young' s interference fringes image pre-processing procedures and algorithms)

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。(This program is the most basic particle swarm optimization procedures, using Matlab to achieve, is very simple.)

半不变量法随机潮流计算主程序 已验证 配合matpower使用(Random flow calculation the main semi-variable method is verified with the matpower use)

solves Laplace equation for a specific B.C. in 2-D on a disk.

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

Simulation distribution1

三电平的双闭环SPWM有源电力滤波器仿真(Three-level dual closed-loop SPWM active power filter simulation)