glcm

数值优化的各种算法，包括牛顿法，拟牛顿，遗传算法，等等。(Numerical optimization algorithms, including Newton' s method, quasi Newton, genetic algorithms, and so on.)

说明：  JADE算法的matlab实现，用matlab打开后可以直接使用，可以用于做对比算法(Matlab implementation of JADEalgorithm)

psd for noise+clutter+jammer

knn是一种分类算法，它是基于matlab的一种模式识别的经典算法，一般适用于样本个数较小的样本分类。(KNN, it is classification algorithm based on matlab a pattern recognition of the classic algorithm, generally applied in sample number of smaller sample classification. )

DFT alogrithm in matlab

很好的matlab代码，适合初学者，快来下

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;)

说明：  本文件研究双摆的混沌 运用matlab对双摆进行模拟 最后给出了 双摆的轨迹图 (doublependulum chaos)

压缩感知方面的源代码，采用matlab编写(Compressive Sampling matlab)

幅频键控ASK的相干调制解调以及非相干调制解调的仿真实现，源代码中作了详细的备注，通过学习该代码能够对ASK的调制解调有更加深入的认识(Coherent amplitude and frequency shift keying ASK modulation and demodulation, and non-coherent modulation and demodulation simulation, source code made detailed notes, by learning the code to the ASK modulation and demodulation of a more in-depth understanding of)