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里面有： 基于MATLAB／Simulink环境下的PID参数整定 基于MATLAB的PID控制器参数整定及仿真 基于MATLAB的PID控制器设计 基于MATLAB下的PID控制仿真(Inside: Based on MATLAB/Simulink environment MATLAB-based PID parameter tuning of PID controller tuning and simulation of PID controller design based on MATLAB-based PID control simulation under MATLAB)

matlab code for sensor nodes

matlab函数文件 绘制卫星视角的三维地球视图 清晰逼真(matlab function file rendering three-dimensional perspective of the Earth satellite view vivid)

we determin a chaos mode and alyalize the time application to find if its really chaos and will have the character

用gui学生成绩查询系统，初学，有待改善 (Query system with a gui student achievement, beginner, need to be improved)

基于Alamouti的8PSK调制2发1收程序。(8PSK modulation based on Alamouti' s 2 made a settlement process.)

这是几种滤波器的MATLAB的M文件源码，可以实现特定的滤波器设计(This is the filter paper MATLAB M source, can achieve a specific filter design)

This is a matlab project in which application detect the brain tumour.

An implementation of a Nonlinear Bilinear Filter

Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.