ACO

基于Matlab的LDPC码的研究，讲的很好，可以下载看看那(MATLAB ldpc )

这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较，很值得研究！(The key players here and some of the LMS algorithm is an improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) the differences between the points of comparison, in the traditional LMS algorithm is developed on the basis of the LMS algorithm applications. On the other hand and from the analysis of RLS algorithm and LMS algorithm for its different characteristics were compared, it is worth studying!)

分配问题的实现,是利用匈牙利算法实现的MATLAB代码！(The realization of the distribution is the use of the MATLAB code Hungarian algorithm!)

无约束多维极值问题的解决方法程序，matlab程序，具有很强的鲁棒性(Unconstrained multi-dimensional extremal problem solution procedures, matlab program, which has strong robustness)

some classification algorithms

说明：  地心地固（ECEF）坐标系下，基于广义最小二乘的雷达组网空间误差配准(Radar network based on generalized least square error of registration space)

KPCA降维算法的实现函数，matlab的函数(KPCA dimensionality reduction algorithm to achieve the function, matlab function)

关于分数阶傅里叶变换的源程序及一些应用，对初学者有很大帮助。(Some applications on the source and Fractional Fourier transform of great help for beginners.)

说明：  NMF矩阵分解算法可用于高维数据分解和降维处理分析。(NMF matrix decomposition algorithm can be used for high-dimensional data decomposition and dimension reduction analysis.)

face recognition by ga