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calculate the capacity of mimo system an example is shown Waterfilling capacity structure

finite difference scheme for simple harmonic oscillator

NOAA网站AVHRR卫星数据绘图（SST）。数据选用原因:它本身是已经被处理过的27年（1982-2008）全球月平均数据，而且数据精度非常高，对于研究全球SST的气候态特征有较好的说服性；另外，选择2月与8月的数据，对描述海洋水温的平面分布更具有代表性。 (NOAA AVHRR satellite data mapping site (SST). Data Selection reasons: it is itself already been treated for 27 years (1982-2008) global average monthly data, and the data accuracy is very high, for the study of global climate SST state characteristics have better persuasive addition, February with the data in August, and the description of ocean water temperature plane distribution more representative.)

利用MATLAB和Simulink进行S模式检测和解码(ADS-B Airplane Tracking Tutorial)

关于模糊逻辑工具箱的具体应用，案例有源码，有详细的操作步骤，对初学MATLAB又想急于上手的尤其有参考价值！(About fuzzy logic toolbox of specific applications, case there is source, has detailed the steps, eager for the beginner-to-use MATLAB in particular want to have reference value!)

本算法是乘子法MATLAB的通用程序，只要输入相应的参数即可运行(This algorithm is a the multiplier method MATLAB common procedures as long as the input parameters to run)

Collection of Sparse Representation Library(Berkeley+Gatech)

使用Matlab 软件工具, 对给定结构和入射电磁信号的接收天线进行分析计算, 创建RWG边元, 求解阻抗矩阵和矩量方程, 得到了天线的表面电流分布, 并将表面电流分布可视化。(Using the Matlab software tool for a given structure and the incident electromagnetic signal receiving antenna analysis and calculation, create RWG edge element, solving the impedance matrix and the moment equation, the surface of the antenna current distribution, and visualization of the surface current distribution. )

产生MPSK信号的matlab源源代码，其中有4psk与8psk两中 (MPSK signal matlab Yuanyuan code, which 4psk with a 8psk two in)

Model reference adaptive system (MRAS) based techniques are one of the best methods to estimate the rotor speed due to its performance and straightforward stability approach. These techniques use two different models (the reference model and the adjustable model) which have made the speed estimation a reliable scheme especially when the motor parameters are poorly known or having large variations.