CA-matlab

control simple Z converter in matlab simulink

网上找的，比较全面的alpha稳定分布的matlab程序(Find online, more comprehensive alpha stable distribution matlab program)

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.)

matlab软件中的遗传算法的工具箱中的m文件 (m files in the genetic algorithm toolbox matlab software)

自己做的SPWM逆变器的simulink仿真(Do their own SPWM inverter simulink simulation)

说明：  《现代通信系统使用MATLAB（第二版）》书中的例子打包。(communication systerm)

C++与matlab混合编程实例，用于实现在VS2010中调用matlab程序(C++ and matlab mixed programming, call matlab program VS2010)

说明：  matlab函数库 介绍了matlab库中应用到的函数的功能及用法(matlab matlab library describes the function applied to the library functions and usage)

说明：  自己编写的小波神经网络的代码。已经得到成功的应用(I have written code for wavelet neural network. Has been successfully applied)

这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。(This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networks, etc.), using the least squares method/maximum likelihood, Kalman filtering, Monte Carlo, particle filtering methods , but many readers need is there are a large number of simulation examples and program code, and with Chinese notes, the book the reader can combine the principles and formulas, a better understanding of the program. Also suitable for many readers on the basis of the existing code to improve the algorithm.)