zaosheng

基于matlab和DSP的IIR/FIR 滤波器(Matlab and DSP-based IIR/FIR filter)

a file to use TDMA method

说明：  用稀疏表示人脸识别，其中在求解l1范数的部分的matlab源码。(Sparse representation for face recognition, solving l1 norm matlab source.)

是关于粒子群的一个优化MATLAB程序，直接可以生成M文件使用，稍作修改即可。(MATLAB program is the particle swarm optimization can directly generate the M-file using minor modifications.)

it is MRC technique uesed in lte MIMO lte

说明：  一个基于pluto传输图像的程序，检测图片并通过pluto传输和接受，接受后画出接受文件的频谱密度图像和星座图(A program based on Pluto to transfer image, detect the image, transmit and accept it through Pluto, draw the spectrum density image and constellation map of the received file after receiving it)

用遗传算法解决一个np极难问题，即车间调度中的job shop问题。(With genetic algorithm is very difficult to solve a np problem, that is, the workshop dispatch of the job shop problem.)

simulation plan de phase 1

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

说明：  REOF Varimax 旋转的EOF正交分解Matlab程序(EOF analysis rotated by VARIMAX--> REOF method)