DG_PSO_P_33

a Matlab toolbox for parametric identification of fluid-memory models associated with the radiation forces ships and offshore structures.

Doppler filter in FIR implementation

卡尔曼滤波算法在Matlab中的编程 仿真的为航迹跟踪的滤波过程(Kalman filtering algorithm in Matlab simulation programming for the track tracking filtering process)

LMMSE在信道均衡中的应用。设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号估计发送信号。(Application LMMSE channel equalization. set channel response is known. Linear MMSE estimation under linear model, the transmitted signal is estimated based on the observed signal.)

混合储能系统平抑风力发电输出功率波动控制方法设计(Hybrid energy storage system to stabilize fluctuations in wind power output control method designed)

利用小波包函数，对滚动轴承的故障进行分析，最后得出图形，进行故障分析，非常有用。(it is very good,best for wavelet.)

加窗的prony方法，实现低频振荡非平稳信号特征量提取(The windowed prony nonstationary signal characteristics amount of low-frequency oscillation extract)

基于稀疏贝叶斯学习的稀疏向量恢复算法，里面包含多个情景下的仿真程序和说明(Sparse vectors recovery based on SBL)

这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。(This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets.)

this is classifier using Euclidean distance measure for palm print recognition