ex_center

说明：  在分析了无刷直流电动机 (BLDCM) 数学模型的基础上,用 MAT LAB建立了无刷直流电动机控制系统的 真模型,对系统进行了仿真和分析,给出了仿真结果,验证了数学模型的有效性及控制系统设计的合理性。(The analysis of the brushless DC motor (BLDCM) based on the mathematical model, using MAT LAB established a brushless DC motor control system of the true model of the system simulation and analysis of simulation results to verify the mathematical model effectiveness and control system design is reasonable.)

pid controller implementation using matlab

这是物理实验中的光学实验，牛顿环实验Matlab模拟(This is the physics experiment optical experiment, Newton rings experiment Matlab simulation )

飞行器辅助导航系统设计及其应用，英文第二版本(Vehicle Navigation System and Its Applications, second edition in English)

一个很好的学习图像处理的函数的例子程序，对于初级学习者来说，有很好的帮助，对于初学习者非常适合！(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)

基于梯度下降法的SVM的实现。适合初学者(Gradient descent method to achieve SVM. Suitable for the news.)

这是一个基于QDHE那篇论文编写的一个QDHE代码(This is based on that paper prepared QDHE a QDHE code)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy

Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis

说明：  本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十四(The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate is seventy-four percent )