FFT_practise_and_analysis

说明：  自用遗传算法工具箱，很全，我一直使用着，有问题可与我联系(Genetic Algorithm Toolbox for personal use, it is full, I had been using, there are problems to contact me)

karnaugh diagram implemented

求卷积及两个序列的互相关函数，或一个序列的自相关函数；(for convolution and two sequences of cross-correlation function, or a series of auto-correlation function;)

Matlab fuzzy-logic identification (palm termogram)

an implementation of the algorithm FCM of segmentation. It can produce a segmented image

一个带通滤波器，模拟Gelileo卫星中频滤波，显示频谱。(A band-pass filter, an analog IF filter Gelileo satellite.)

Solaris 2.6以后，SUN删除了版本号中的"2"，因此，SunOS 2.10就叫做Solaris 10。 Solaris的早期版本后来又被重新命名为Solaris 1.x(After Solaris 2.6 , SUN deleted version number "2" , therefore , SunOS 2.10 is called Solaris 10. Earlier versions of Solaris later was renamed Solaris 1.x )

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;)

有关信道编码的word文档，内容很详细，(Channel coding the word about the document, the content is very detailed,)

萤火虫算法在分布式电源优化配置中应用 全部 很好的程序 只需换换节点数目就可以(Firefly algorithm optimization in distributed power configuration in all a very good application program can only change of the number of nodes)