rlstde

一个单纯形法的程序 可以显示出最优解 最佳值 和迭代次数(a simplex method procedures can demonstrate that the optimal solution the best value and the number of iterations)

稀疏表示是压缩感知的基础条件，一篇关于稀疏表示的详细介绍，值得学习。(Sparse representation is a basic condition for compressed sensing, detailed article on sparse representation, it is worth learning.)

实现MATLAB下的音频AGC，，关键是要有高效的算法。效果不错。 (Audio AGC on MATLAB, the key is to have efficient algorithms. Good results.)

基于pso算法的matlab编程程序，用于神经网络控制的编程(Pso algorithm matlab programming procedures for neural network control programming)

微小型MEMS陀螺的误差特性研究，对于mems陀螺仪误差建模和补偿方法(Miniature MEMS gyro error characteristics of the MEMS gyroscope error modeling and compensation method)

概率神经网络的源代码示例，输出向量t是一维向量。(Probabilistic neural network source code examples, t is the one-dimensional vector.)

w83627dhg芯片的编程操作，里面包含相关编程代码，控制IO等接口程序(W83627dhg chip programming operation, which contains the related programming code, control IO interface program)

时频分析工具箱，大家可以借鉴一下DiscreteTFDsDiscreteTFDs(The time-frequency analysis toolbox, we can learn from you DiscreteTFDsDiscreteTFDs)

先归一化输入输出参数，用KMens优化RBF神经网络中心值，然后计算隐节点数据中心间的距离（矩阵），得到各隐节点的扩展常数（宽度），接着用最小二乘法得到各隐节点的输出权值，对数据进行反归一化，并绘图得到神经网络输出与测试集图，同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)

说明：  有关TD的matlab仿真 (Matlab simulation of the TD)