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内含遗传算法的matlab 程序，有参考价值哦，赶快下载吧！(Matlab genetic algorithm includes procedures have reference value Oh, as soon as possible to download it!)

在视图类CDemoView中映射“拉普拉斯锐化”事件的处理函数:OnLaplacienSharp()，以下是CDemoView:: :OnLaplacienSharp()函数的代码实现。(In the view class CDemoView in the mapping " Laplacian sharpening" event handler: OnLaplacienSharp (), following CDemoView::: OnLaplacienSharp () function code.)

Hard Iterative Thresholding Sparse Signal Reconstruction for Compressive Sensing L0-norm Minimization

K-means algorithm for color images (3-channel). Implemented on MATLAB for segmentation.

阵列信号处理中，能够识别空间多信号源的方向(Array signal processing, multiple sources to identify the direction of space)

BER for QAM modulation in a Rayleigh fading channel with and without transmit beamforming

to fill the missing pixel areas

数学建模基础教程，对于初学者可以参考，很好的基础建模资料(mathematical modeling basic course for beginners can reference, very good base modeling material )

MATLAB Programming with Applications for Engineers

实现了蚁群算法求解TSP问题。注释详细 function[R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,Alpha,Beta,Rho,Q) ------------------------------------------------------------------------- 主要符号说明 C n个城市的坐标，n×2的矩阵 NC_max最大迭代次数 m蚂蚁个数 Alpha表征信息素重要程度的参数 Beta表征启发式因子重要程度的参数 Rho信息素蒸发系数 Q信息素增加强度系数 R_best各代最佳路线 L_best各代最佳路线的长度 ========================================================================= (Ant Colony Algorithm for the realization of the TSP problem. Notes the detailed function [R_best, L_best, L_ave, Shortest_Route, Shortest_Length] = ACATSP (C, NC_max, m, Alpha, Beta, Rho, Q) ------------------------------------------------------------------- The main symbol------ C n that cities coordinates, n × 2 matrix NC_max the largest number of iterations m the number of Alpha ant pheromones characterized the importance of the parameters Beta factor heuristic importance of characterization of the parameters Rho evaporation coefficient of pheromone pheromone Q increase in intensity coefficient R_best best route generations generations L_best the length of the best route ====== ================================================== =================)