trafficParticle

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload a total of 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)

空时分组码stbc的matlab仿真程序。(STBC stbc the matlab simulation program.)

利用MATLAB写的蹦球游戏，希望大家在学习的同时可以放松下，顺便学学matlab(The use of MATLAB in bouncing ball Writing Game, I hope everyone in the study can relax at the same time, the study incidentally learn matlab)

包含有详细的混沌理论优化算法，可以用于控制器参数的寻优(Chaos Theory contains a detailed optimization algorithm, can be used for optimization of controller parameters)

matlab应用于基于粒子滤波的程序及演示(Particle filter based on the procedures and presentation of matlab)

用EKF，在matlat环境下实现的SLAM，包括GUI仿真界面及参考文件(extended Kalman Filter, under matlab environment)

随着蜂窝移动通信市场的巨大发展，下一代通信将是移动多媒体通信。这种情况产生了一个问题，如何对语音信源以外的多媒体信源进行功率控制。在探讨这个问题上，我们引入微观经济学中的数学模型和概念以及博弈论理论。在本文中，电话的通话质量被称为“效度”，对于一个CDMA电话通信的分布式功率控制被看作是一个‘非协作的博弈’。(CDMA mobile communication system is a technology which will be used in the next-generation communications system, so wideband CDMA technology has been unprecedented attention, and a large number of improved algorithm to improve the performance of CDMA system has emerged in its various research on key technologies.)

说明：  MATLAB语言是一种广泛应用于工程计算及数值分析领域的新型高级语言，自1984年由美国 MathWorks 公司推向市场以来，历经十多年的发展与竞争，现已成为国际公认的最优秀的工程应用开发环境。MATLAB功能强大、简单易学、编程效率高，深受广大科技工作者的欢迎(MATLAB language is a widely used engineering calculation and numerical analysis of the new high-level language, since the United States in 1984 by the MathWorks to market since the company, after ten years of development and competition, has become internationally recognized best engineering applications development environment. MATLAB powerful, easy to learn, programming efficiency, greatly welcomed by the vast numbers of scientific and technological workers)

【MATLAB GUI设计学习手记】源代码(【Notes】 learning MATLAB GUI design source code)

In this paper, we consider the use of Modulation Spectra for voice pathology detection and classification. To reduce the high-dimensionality space generated by Modulation spectra