YUYIN-SHIBIE

高斯法求解方程，在matlab中建立，求解方程并显示运算时间结果，用于对高斯法有一个更直观的认识。(Gauss method for solving equations, established in matlab, solving equations and displays the computation time results for the Gaussian method has a more intuitive understanding.)

支持向量机的实现程序，用于实现支持向量机基本算法的matlab代码(Support Vector Machine implementation of procedures used to implement the basic algorithm of support vector machine matlab code)

Time Frequency Multiplex Preamble Design for Joint I1Q Imbalance, CFO and Channel Estimation in OFDM Systems IEEE Paper

说明：  主要用于数学建模的算法，比如路径规划中的最短路径，数据的拟合分析以及随机数的产生等。(It is mainly used in mathematical modeling algorithms, such as the shortest path in path planning, data fitting analysis and random number generation.)

Disparity determination matlab code to find the displacement of each and every pixel..

自然边界元数学理论，于德浩教授编著。对于椭圆编制问题规划给出了较为详细数学理论解释，对于工程和理学专业的程序的编写有较好的辅助作用。(Natural Boundary Element mathematical theory, Professor Yu Dehao ed. For the preparation of the problem oval plan gives a more detailed explanation of the mathematical theory, for the preparation of professional engineering and Science program has a good supporting role.)

1D求解麦克斯韦方程组，等离子体密度，电子密度，matlab程序，+作图(1D solving Maxwell' s equations, the plasma density, electron density, matlab program,+ mapping)

来自中国知网的所有的关于BSS SCA的最新的论文，期刊及MATABLE知识点。内容齐全(Text from China for all the latest on BSS SCA papers, periodicals and MATABLE knowledge points. Complete content)

Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)

用matlab语言实现自适应控制的二维函数。通过不同的隶属度函数和不同的参数选择可以实现不同的效果(wo-dimensional realization of adaptive control function)