lx2

说明：  双闭环buck变换器模型，matlab simulink 仿真(Double closed loop buck converter model)

Simulation of BPSK modulation

超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)

有详细的注释，利用matlab写成的窄带噪声发生，能量谱分析计算。( There are detailed notes, Using matlab written narrowband noise occurs, Energy spectrum analysis and calculation.)

用matlab实现神经网络算法用于锅炉故障检测，结果可实现(Using matlab neural network algorithm for boiler fault detection, the results can be achieved)

This paper presents the simulation of a simple First Order plus Delay Time (FOPDT) process model using advanced control algorithms. Specifically, these advanced algorithms are the IMC-based PID controller, the Model Predictive Controller (MPC) and the Proportional-Integral-Plus Controller (PIP) and their performance is compared with the conventional Proportional – Integral – Derivative (PID) algorithm. The simulations took place using the Matlab/Simulink™ software.

约翰 G 普罗克斯的经典教材，个人认为是现今讲matlab最好的书籍！(John G Proulx‘s classic text, personal view of ，this is the best books about matlab!)

说明：  FFH中传统门限的比较获取，SNR的不同，BER不同，从中最佳(FFH traditional threshold comparison to obtain, SNR different, BER is different from the best)

永磁电机矢量控制matlab仿真，适合电驱动研究者(Matlab simulation of permanent magnet motor vector control for electrically driven researcher)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )