GStreamer

说明：  一个多输入多输出小波网络的源程序，用matlab编写，能够实现对时间序列数据的训练预测(A multi-input multi-output wavelet network' s source code, written with matlab, can be achieved on the training time series data forecasting)

c++的adc（数模转换器）测试实例程序，很实用，适合初学者(the c++ adc test instance procedures, very practical, very classic)

说明：  matlab仿真例程，是支持向量机工具箱（matlab），可用于模式分类，模式识别 Nu_SVC二类分类算法(matlab simulation routines, support vector machine toolbox (matlab), can be used for pattern classification, pattern recognition Nu_SVC second-class Classification Algorithm)

这是关于没分燃烧的udf，同学们可以借鉴，利用的是二阶矩模型(this is a combustion udf,which was using the second ju model ,you can use it for referance)

光纤通信的书，里面有基于matlab的通信仿真(Optical fiber communication book, which has matlab-based communication simulation)

约瑟夫环实验： 程序利用顺序表实现约瑟夫环，本实验是用于一个小游戏(Josephus experiment : the use of procedures to achieve the order table Josephus, the experiment is for a small game)

可以去除脑电中的50Hz工频干扰，同时可以剔除部分生理伪迹，如眼电、肌电伪迹。( can be removed the 50Hz frequency interference of EEG, and can eliminate part of the physiological artifacts such as EOG, EMG.)

随机信号仿真数据的生成的matlab程序(Random-signal simulation data generated by matlab program )

该文件用matlab 详细说明包括连续系统和离散系统的PID 控制，常用数字PID 控制，专家PID和模糊PID 控制，神经PID 控制，遗传算法PID 控制，多变量解耦PID 控制，几种先进的PID 控制，灰色PID 控制，伺服系统PID 控制，PID 实时控制(Utlizing Matlab technology to describe the different PIC strategy,including regular PID control,fuzzy PID control.)

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)