Inst2DQ

支持向量机matlab仿真代码，对于智能控制算法的很有帮助(svm matlab code)

Implementacao da rede MLP canonica (backpropagation com gradiente descendente) blea

本程序用于判别所给数据源在置信率为0.05时的概率分布形式。A的形式为n×1。(This procedure is used to determine the distribution of the given data source in the form of confidence was when the probability of 0.05. Form A is n × 1.)

这一个music 的DOA算法，可以说通俗易懂，结果也十分完美。我比较骄傲的一个。(music doa)

this a virtual memory query application for CEthis is a virtual memory query application for CE(this is a virtual memory query application for CE)

卡尔曼滤波下的的ARMA、MA、AR模型，比较全面，特别适合初学者入门(Kalman filtering under the ARMA, MA, AR model, a more comprehensive, especially for beginners)

MIMO系统容量的仿真程序来研究MIMO系统的容量可用于学习。(MIMO system capacity simulation program to study the MIMO system capacity can be used to learn.)

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.)

基于matlab和C，包括LMS,CMA,MCMA自适应均衡器的程序和论文，论文说明很详细，可以提供相关参考(Including the LMS, CMA, MCMA adaptive equalizer procedures and papers, research papers explain in great detail and can provide relevant information)

小波分析理论中的一些例程,摘出来方便大家参考.(wavelet analysis theory of some routines, pick out convenient reference.)