MATLAB-program-design

差分方程求解 实验步骤： 主界面下进入实验五的“差分方程求解”子系统,输入希望看到的输出样点数 输入差分方程系数向量 输入顺序为：，。其中 N+1 为差分方程两边系数最大数目，如果有一边输入系数个数小于 N+1，将按不足系数为零计算。 输入系统初始状态向量 输入顺序为 鼠标单击确定按钮，以数值和图形两种方式显示单位冲激响应和输出响应 3） 确定差分方程形式：y(k)-y(k-1)+0.35y(k-2)=2x(k)-x(k-1)，(Experimental steps for solving differential equations: the main interface into five experimental " differential equation" subsystems, would like to see the output of input sample points difference equation coefficient of input vector input sequence as follows:,. One of N+1 differential equations for the maximum number of factors on both sides, if there is one less than the number of input coefficient of N+1, the calculation will be less than zero coefficient. Initial state vector input system for the importation of the order of the mouse button to click OK to both numerical and graphical display unit impulse response and output in response to 3) to determine the form of differential equation: y (k)-y (k-1)+0.35 y (k-2) = 2x (k)-x (k-1),)

用迭代法在MATLAB中实现（赫姆霍兹）Helmholtz方程组的求解(Solving Helmholtz equation set by iterative method in MATLAB)

rectifier electrical converter

趋势EA，不加仓，不网格，每单都带止损止盈，加载周期30分(Trend EA, no warehousing, no grid, stop-loss and stop-profit for each single, loading cycle 30)

关于多目标优化的几个具体程序，matlab编写，可供初学者学习分享(Several multi-objective optimization on specific procedures, matlab write, for beginners to learn to share)

Chinese text classification feature extraction algorithm Chinese text classification feature extraction algorithm (Chinese text classification feature extraction algorithm )

说明：  我所搜集的有关压缩传感的非常有价值的参考资料，如果想要入门，这些文献是必不可少的(I collected the compressed sensing of extremely useful information, if you want to start, these documents are essential)

说明：  GA-PLS, GA GA-PLS,遗传-偏最小二乘回归算法(GA-PLS, GA GA-PLS,GA-PLS, GA GA-PLS,)

说明：  有源功率因数校正仿真模型，采用滞环电流控制的方法。(The simulation model of active power factor correction adopts the method of hysteresis current control.)

高频雷达 目标检测 去除 Bragg 峰 采用现代谱估计方法 burg(Remove high-frequency radar target detection Bragg peak using modern spectral estimation methods burg)