GATSP

原始单纯形法（大M法，无需给出初始基变量）。输入：C是n维行向量，A是m*n的系数矩阵，b是m维列向量 输出：x最优解（如果有的话），fval最优值，flag解的状态说明，interation求解时的循环次数(The original simplex method (big M method, without giving the initial basic variable). Input: C is the n-dimensional row vector, A is the coefficient matrix of m* n, b is the m-dimensional column vector Output: x the optimal solution (if any), fval optimal value, flag state solution description, interation when the number of cycles to solve)

此段程序可以完成数据波形的频谱细化和小波包分解(czt wavellet)

用于多用户检测技术的MMSE检测器matlab仿真(MMSE detector matlab simulation)

利用声线法对有限空间声场仿真，并对XY平面声压进行渲染(Line method using acoustic sound field simulation of the limited space, and the XY plane render sound pressure)

DS BPSK Transmitter

Matlab code to calculate LC load response using simulink

扩展卡尔曼滤波，一种非线性滤波，可用于目标跟踪，初学者适用(Extended Kalman filter, a nonlinear filtering, can be used for target tracking, suitable for beginners)

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

说明：  master of body language

说明：  基于MATLAB/SIMULINK的PMSM仿真与实现(PMSM)