tongtailvbo

channel simulation model for matlab

in this code you can check the test of encoding for iris recognition

控制规律的选用要根据过程特性和工艺要求来选取，决不是说PID控制规律在任何情况下都具有较好的控制性能，不分场合都采用是不明智的。如果这样做，只会给其它工作增加复杂性，并给参数整定带来困难。当采用PID控制器还达不到工艺要求，则需要考虑其它的控制方案。如串级控制、前馈控制、大滞后控制等。 (Choice of control law according to process characteristics and process requirements to select, does not mean that PID control law in any case have a better control performance, are used regardless of where it would be unwise. If you do, will only add to the complexity of other work, and to the parameter tuning difficult. When using the PID controller has not yet reached technological requirements, you need to consider other control options. Such as cascade control, feedforward control, large time delay control.)

基于云模型雾化算法的实现。该程序实现了雾化算法在全局范围内的最优搜索（二维，十维，三十维）。(Aerosol cloud model based algorithm. The process of atomization Algorithm for the Global Optimum Search in the context of (two-dimensional, 10 dimensional, 30 dimensional).)

利用matlab实现hog特征提取与SVM分类方法 用来识别人车与背景(Using matlab nonlinear SVM classification feature extraction and HOG achieve background test vehicles)

利用matlab编写的T型自卸汽车优化分析软件，界面友好(Prepared using matlab optimization of T-dump truck software, user-friendly)

说明：  matlab信道模型，对OFDM信道建模，统计错误概率，并于直接传输的错误率比较。(Matlab channel model, the right OFDM Channel modeling, statistical probability of error, and direct transmission error rates.)

说明：  利用二维小波的图像增强 基于小波变换的多尺度图像边缘检测matlab源代码(在Matlab7.0下运行) (Using two-dimensional wavelet image enhancement based on wavelet transform multi-scale edge detection matlab source code (in Matlab7.0 run))

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.

常规PID控制器主要采用模拟PID控制器。这种控制器的控制规律是：根据给定值和输出值构成的偏差按比例、积分和微分通过线性组合构成控制量，对被控对象进行控制。(Conventional PID controller is used mainly analog PID controller. This controller is the control law: according to the given value and output value constitutes a deviation by proportional, integral and differential form by a linear combination of the amount of control, control of the controlled object.)