subprogram

Matlab是一套功能强大的技术计算（technical computing）软件工具，就数据采集方面来说，它集中了信号采集（它内置一些著名厂商的数据采集卡驱动程序），信号分析（计算），可视化（绘图），文件处理（存盘，打印等）各方面功能于一体，而且很容易开发出WINDOWS图形用户界面（Graphical user interface，缩写为GUI）.(Matlab is a powerful technical terms (technical computin g) software tools, data acquisition is concerned, It concentrates the signal acquisition (which built some well-known manufacturers of data acquisition card driver), signal analysis (calculated), Visualization (graphics), document processing (save, print, etc.) all functions into one. it is very easy to develop Windows graphical user interface (Graphical user inter face, the initials for GUI).)

飞机姿态的纵向以及横侧向设计，高度保持，姿态保持(gaodu zitai baochi)

实现对给定的数据服的拟合优度的检验，内有详细程序说明(To achieve a given data service goodness of fit test, with detailed description of the procedures)

说明：  此程序主要是实现matlab中的ICE界面交互(ICE function)

说明：  本程序是CRLS滤波器基本算法的MATLAB编程，通过该程序大家可以看到最小递归二乘算法的良好性能(This procedure is the basic algorithm CRLS filter MATLAB programming, we can see through the process recursive least squares algorithm for the good performance)

直接序列扩频就是直接用具有高码率的扩频码序列在发端去扩展信号的频谱。而在收端，用相同的扩频码序列去进行解扩还原成原始的信息。(Direct Sequence Spread Spectrum is the direct use of the spreading code sequence with a high rate in the originator to expand the spectrum of the signal. Receiving end, using the same spreading code sequence to despread the broadening of the spread spectrum signal to restore the original information.)

MATLAB克里金差值，主要是之前收集的一些程序汇总(MATLAB Kriging Difference)

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)

lle算法主要程序，运用的KNN邻近分类器，其中也含有均衡化的程序(LLE algorithm)

matlab 的EOF 和REOF、CCA、SVD方法(EOF and REOF CCA SVD matlab code)