yasuoganzhi-Channel-Estimation

一个MATLAB工具箱，可以进行快速而可靠的听觉阈值的计算！目前很少有类似的方法。(A MATLAB toolbox for rapid and reliable auditory threshold estimation)

rake_receive, one part of another matlab communication simulation with wirele(rake_receive. one part of another Matlab communication simul ation with wirele)

LDA简单的小程序，线性判别，用于分类的(LDA simple little program, linear discriminant for classification)

说明：  实验:使用MATLAB实现医学图像几何变换与二维重建，其中括了实验课件和示例源码(Experiment: Using MATLAB to achieve geometric transform and two-dimensional medical image reconstruction, which includes the experimental and sample source courseware)

matlab程序实现 人工鱼群算法对测试函数进行测试 包里还包含测试函数的程序(AFSA matlab program to test the function of the test package also includes a program to test the function)

面阵波束形成 两种方法 三维指向性 直接运行(Planar array beamforming methods of three-dimensional directional direct running)

算术编码与译码的matlab程序 信息论 通信 (matlab)

读取SAR影像的MATLAB编码，非常有用哦！(SAR image of the MATLAB code to read, it is very useful !)

blasius problem to find the skin friction

The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:[1] All fireflies are unisexual, so that one firefly will be attracted to all other fireflies Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) the brighter one however, the brightness can decrease as their distance increases If there are no fireflies brighter than a given firefly, it will move randomly. The brightness should be associated with the objective function. Firefly algorithm is a nature-inspired metaheuristic optimization algorithm.