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it is a matlab file foe develop SLAM localization this is a toolbox for develop develop realtime extra cool

卡尔曼滤波程序：此程序是以蛇形机动目标为运动模型进行的卡尔曼滤波。(The MATLAB simulation program based on kalman filter)

对基于freedom的微电网，进行了稳定性分析以及灵敏度分析(Microgrid based on freedom, stability analysis, and carried out sensitivity analysis)

function [ndata,a]=splinenormalize(data) The function SPLINENORMALIZE normalizes with splines, the data(n,m) where n specifies the number of time points, and m is the number of IMF components. The normalization is carried out with both maxima and minima hence emax is taken as the absolute sign.

文对静态图像的压缩方法作了较深入的研究，利用多分辨分析对图像进行分解，并利用小波的标量量化图像压缩编码算法对图像进行压缩，其间对原算法进行了研究和探讨；在上述理论工作的基础上，应用Matlab仿真实现了相应的算法。实验结果证明，基于小波的标量量化图像压缩编码算法是可行的和有效的。(A deep researeh on static image compression 15 presented in this paper. on the basis of theoretical work above，programming achieves corresponding algorithm. It’s proved that programming achieves corresponding algorithm image compression and image code.)

matlab平台下的一种遗传算法，可用于波段选择或者波段选择(A Genetic Algorithm-Based Feature Selection)

convert the c code to matlab compatible When executing, you need both c file and the m-file

LDPC编解码的源程序，可以在MATLAB中成功运行(LDPC codec source code, you can successfully run in MATLAB)

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.

计算分段三次多项式插值的系数,计算三次样条插值函数的系数组M(Calculating the coefficients of piecewise cubic polynomial interpolation, cubic spline interpolation function calculating the coefficients M)