sspropv

用MATLAB编程实现FIR滤波器功能，很好的一个程序！(Programming with MATLAB realize FIR filter function, a procedure very good!)

靴袋法重采样，用于小样本时的重新采样后扩大样本含量的程序(Boots bags method re-sampling)

gson2.2.2的3个jar包，需要的可以下载(gson2.2.2 of 3 jar package, need to be downloaded)

identification linear regression model single tank

五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示(Five groups codes in matlabapplication: (1) carspls and carsplslda, competitive adaptive re-weighted algorithm (cars) for characteristic variables selection, and the establishment of PLS ​ ​ quantitative or qualitative model (2) mcuvepls， Monte Carlo sampling and the uninformative variables elimination （UVE）， and the establishment of quantitative and qualitative PLS model (3) Orthagnal signal correction（osc）, multivariate data processing method (4) plot cars-lda-mcs, characterization results of cars-lda-mcs (5) the demo about carspls and carsplslda, mcuvepls method implementation in matlab)

利用keyset进行遍历，它的优点在于可以根据你所想要的key值得到你想要的 values，更具灵活性！！ (Use keyset traversal of its advantages is that worth to the values ​ ​ you want the key you want more flexibility! !)

该损伤模型通过 商用有限元软件ABAQUS /Explicit 的用户子程序VUMAT 实现，并使用该模型对碳纤维增强环氧树脂 复合材料层合板在横向低速冲击作用下的损伤和变形行为进行预测分析． 数值仿真的结果与试验结 果进行了比较，吻合良好，验证了该模型的有效性．(Through coding user subroutine VUMAT of finite element software ABAQUS /explicit， and applied the model to an example，carbon fiber reinforced epoxy composite laminates under low velocity impact，the prediction for damage and deformation were good agreement with the experimental results．)

此程序是ofdm的一个仿真程序，通过发送端是一个声音文件或者图片文件来对ofdm系统进行仿真(This procedure are OFDM, a simulation program, by sending a client is a sound file or picture file to the simulation of the OFDM system)

自己设计的一个模糊逻辑控制器，利用simulink模块进行仿真。 请注意在仿真之前先在matlab command window里输入 load fuzzy.dis 进行预读取(Own design a fuzzy logic controller using simulink simulation module. Please note that the first input load fuzzy.dis before simulation in matlab command window in the pre-read)

this is LSb source code