matlabwork

PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。 (A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)

Mobile Radio Channels Modeling in MATLAB

这个程序是用SLM算法抑制峰均功率比的matlab仿真程序，对100000个OFDM符号进行统计然后表征算法对PAPR的改进程度，绝对可以运行(this process is inhibited by SLM algorithm PAPR of Matlab simulation program, to 100,000 OFDM symbols statistical algorithm then characterization of the degree of the improvement PAPR, absolutely can run)

弹簧粒子模型定位算法，根据上海大学硕士论文编写。(Spring particle model localization algorithm，according to the Shanghai university master s thesis writing. )

一个进行C++和matlab混合编程的程序，可以实现c++调用matlab，虽是一个简单的例子但是却会让你学会VC、matlab混合编程的强大(One for C++ and matlab mixed programming procedures can be achieved c++ calling matlab, although a simple example but it makes you learn to VC, matlab powerful Hybrid Programming)

灰色系统模型的matlab实现，统计分析时不可或缺的一种模型。通过此m文件直接预测分析所需数据(Matlab implementation of the gray system model, an indispensable model in the statistical analysis. This m file directly predictive analysis required data)

FMBC complexity analysis

画出射线跟踪的图形,自动填充的技术，自己写的，希望能有用(Draw the pattern of the ray tracing)

该算法可以计算含DG的配电网优化计算，算例采用IEEE 33 bus test system。(Our algorithm package can solve the distribution active power optimization with the consideration of distributed generation (DG). The test case is based on IEEE 33 bus test base. Enjoy it. )

Kohonen and CPANN toolbox是开发的一个MATLAB工具箱，用来对数据结构进行研究和分类。(The Kohonen and CPANN toolbox is a collection of MATLAB modules for developing Kohonen Maps and Counterpropagation Artificial Neural networs (CPANNs). These are well known neural networks aimed to the study of data structure (Kohonen Maps) and to the data classification (CPANNs). )