proj11-01

原始tsai算法的MATLAB文件，不含任何修改和优化成分，适合原始数据分析(Tsai MATLAB file the original algorithm, without any modification and optimization components for raw data analysis)

说明：  加性高斯白噪声下，FQPSK调制的常规OQPSK检测(awgn channel, convention OQPSK demodulationfor FQPSK modulationfor)

calculator using matlab

costas锁相环，matlab程序，仿真(costas for psk)

Finite Difference Programming for Matlab in 2D

说明：  分析并设计kalman滤波器，应用其对航天器得飞行状态量进行实时估计，得到较为准确的状态参量，(Kalman filter analysis and design, application of their spacecraft in real time the amount was estimated flight to get a more accurate state parameter,)

一个故障诊断的程序，采用了多种方法，将故障时刻检测了出来，并进行了比较(A fault diagnosis program, using a variety of methods, fault detection out moments, and compared )

基于梯度算法的永磁伺服系统惯量辨识性能研究(Recognition properties of inertia permanent magnet servo system based on the gradient algorithm)

自适应中值滤波程序，对于大部分图片都能使用。(Adaptive median filtering procedures, can be used for most of the pictures.)

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.