big-fish_indonesian-491332

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

卫星云图查看源码，实现了每半小时获取卫星图，获取云图列表，可自动播放，有两种选择(View satellite images realized every half hour to obtain satellite images, access cloud list, you can automatically play, two options.)

说明：  k-中心与qpso算法的结合，从文档中读取对象数据，没有维限制。需要设定类别数，先由k-中心计算出各类中心，然后由qpso优化，得到聚类结果，并保存聚类信息。(algorithm for k-medians and qpso combination of object data read from the document, there is no dimension restrictions. Need to set the number of categories, first calculate the k-medians types of center, and then optimized by qpso obtained clustering results, and save the clustering of information.)

模式分类 课后练习答案 佩斯大学整理版本，每章都有（包括 7 8 9 10章） 平均20多道题，跟网内那种一章选几道的完全不一样~~谁用谁知道pattern classification(Duda pattern classification on the answer machine after-school practice exercises finishing version Pace University (New) pattern classification)

M/M/1单服务台或M/M/S(n)排队系统仿真 （用事件调度法实现离散事件系统仿真） (M/M/1 single desk or M/M/S (n) Queuing System Simulation (Event Scheduling Method using Discrete Event System Simulation))

实现了PWM整流的功能，并网闭环控制，稳定直流电压。(The function of PWM rectifier is realized, and the closed loop control is connected to the grid, and the DC voltage is stabilized.)

利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写，原始数据和图形，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, writes independently, the original data and the graph, the study is very worthwhile.)

说明：  使用matlabR2007a编写的分类回归树代码，已经调试，可以运行(Prepared using matlabR2007a code classification and regression trees have been debugging, you can run)

matlab宝典第4版光盘源码文件，很好的学习资料(4th Edition CD Collection matlab source file, a very good learning materials)

提取均值方差等特征参数，并运用神经网络对特征参数序列进行预测(Extracting characteristic parameters such as mean and variance, and the use of neural networks to predict the sequence of characteristic parameters)