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China tennis open boo, which of the following events than "four big super specifications

适合于初学者接触声呐信号处理，有简单的波束形成例程，包括时域和频域，以及相关法求时延等(Suitable for contact beginners sonar signal processing, there is a simple beam forming routines, including the time and frequency domains, as well as related laws and delay request)

这是按照DTMB电视标准用matlab写的生成LDPC矩阵的源代码，可以运行。(This is a code that is in accordance with the standard DTMB TV source code, written in matlab to generate LDPC matrix and it can be run.)

Affinity Propagation聚类算法源码（Matlab）。內附两个测试用例（ToyProblem.mat，FaceClusteringSimilarities.zip）(Affinity Propagation Clustering algorithm source code and two dataset for testing)

说明：  自动泊车的matlab代码，亲测可用，已经调好，使用了模糊控制(The matlab code of automatic parking, available for personal test, has been adjusted, and fuzzy control is used)

网上搜集MATLAB具有以下几个特点,里面有大量的实例，正在学的话，值得一看(online collection of MATLAB with the following characteristics, where there were numerous examples, is studying the case, an eye-catcher)

SprintLayout User Manual Bulgarian pdf

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.)

无线传感器网络协议的生命周期和稳定周期对比(Wireless sensor network protocol and stability of periodic comparative life cycle)

遗传算法的详细仿真程序（matlab),算法详细介绍了遗传算法的功能和主要实现原理。难得的源码程序。(Genetic algorithms detailed simulation program (matlab), algorithm described in detail the function of genetic algorithm and the main achievement of the principle. Rare source procedures.)