stable

说明：  基于Tsai-Wu失效准则的VUMAT子程序(VUMAT subroutine based on Tsai Wu failure criterion)

串口调试用程序，请自行把接口短路后调度接收-Serial debugging program, the interface on its own after a short circuit to receive Scheduling

第二种边界条件的三次样条函数插值与微商-second boundary conditions cubic spline interpolation function and the derivative

VC++ 的窗口TAB选项卡制作例子，切换的时候像拉帘一样从边框移动预定位置，整个TAB都是移动，给静态的窗体界面增添一些动感元素，景两年的网络蚂蚁软件曾有过这种效果。

微网中逆变器准比例谐振控制模型，实现逆变器准pr控制，仿真效果很好。(Quasi-proportional Resonance Control Model of Inverter in Microgrid)

说明：  基于16QAM的OFDM仿真，AWGN信道，应用LMS算法(OFDM_LMS SIMULATION based on 16QAM , AWGN channel, LMS algorithm)

针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. -Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater impro

说明：  在无线通信系统中，用以实现多用户MIMO系统中的用户快速配对(Achieving Fast User Matching in Multi-user MIMO System)

用Delphi实现热点-hot with Delphi

说明：  利用小波变换、奇异值分解和图像插值算法对图像进行增强。(Wavelet transform, singular value decomposition and image interpolation algorithm are used to enhance the image.)