jingtongMATLABzuiyouhuajisuan

Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. (Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. )

用MATLAB编程出数字基带信号NRZ码的功率谱曲线图(Programming with MATLAB digital base-band signal power spectrum of NRZ code graph)

Comparación de varias aproximaciones

说明：  用MATLAB实现的俄罗斯方块 M文件

针对EMD经验模态分解不能找到instfreq的问题(For empirical mode decomposition EMD can not find instfreq problems)

基于规则模型的多目标演化算法，作者周爱民与张青复。(Rule-based model of multi-objective evolutionary algorithm, the author Zhang Ai-Min Zhou and rehabilitation.)

Relief 特征选择算法matlab实现(Relief feature selection )

用基于拉格朗日函数Hesse阵的SQP方法求解约束优化问题(Hesse matrix based on Lagrange function with the SQP method for solving constrained optimization problems)

由于Matlab R2012a 之后的版本中系统isrgb函数被移除了，特编此函数，用于判断图像是否为RGB格式。(To tell whether the image is the RGB format. )

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;)