classical_music_2

对算法中的聚类数 c 和加权指数 m 给出优选方法，进而而出了 fcm 参数优选自适应算法(The clustering algorithm and the number of c-weighted index m gives the preferred method, and then out of the adaptive parameter optimization algorithm fcm)

DSP course Tut1-_Intro

Support Vector Machine KM matlab code

消除雷达数据背景噪声，经典相消法。很好用，这是研一时候做的(Eliminate background noise radar data, the classic destructive method. Very easy to use, this is a time to do research)

混沌的判断指标Lyapunov指数计算,数据模型归一化，模态振动，多目标跟踪的粒子滤波器。( Chaos indicator for Lyapunov index calculation, Normalized data model, modal vibration, Multi-target tracking particle filter.)

整数规划的MATLAB实现 函数求解如下形式的整数规划问题(Integer Programming MATLAB function to calculate the form of integer programming problem)

应用小波进行压缩和滤波的matlab程序.程序选用Daubechies的仅4个系数的小波函数，也可选用其他小波函数，详见说明。(wavelet compression and filtering of Matlab procedures. Procedures for the selection of Daubechies only four coefficients of wavelet function can also choose other wavelet function, as described in note.)

在偏微分方程的数值求解中，有一类很重要的问题就是求解有奇异点的泊松方程，此程序是用C写的并行程序，能极大的提高泊松方程的求解(In the numerical solution of partial differential equations, there is a class of very important issues that have a singular point of solving the Poisson equation, this program is written in C parallel programs, can greatly improve the solution of the Poisson equation)

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)

Particle displacement code