FBMC_OQAM-system

这是一种优化的FCM算法 可以自动确定分类数 有关于c,m的改进(This is an optimization of the FCM algorithm to automatically determine the number of categories on the c, m improvement)

matlab code to change IR and grahy scale to RGB images

kalman滤波matlab源程序代码，学习算法设计的一个很很好的例子(Kalman filter matlab source code, the algorithm design of a very good example)

K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)

潮流算法，研究生作业。挺好用的，已经试过了。哈哈(Flow algorithm, graduate job. Very good use, has been tried. Haha)

How to image processing using matlab: load image, BW, edge detection, noise remover, sharpening by any method by simple code (lp2m aray jakarta)

This m file shows constellation for MQAM.

说明：  去噪中的同步，从同学那拷来的例程，应该不错啊(Denoising synchronized copy came from the students that routines should be good ah)

遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。(Genetic algorithm is used to solve computational mathematics in optimizing search algorithm, an evolutionary algorithm. Evolutionary algorithm was originally borrowed evolutionary biology and developed a number of phenomena, these phenomena, including genetics, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a way of computer simulation. For an optimization problem, a number of candidate solutions (called individuals) abstract representation of the population (called chromosomes) to better solution evolution.)

信息融合　　使用两个传感器进行航迹融合　　Bar-Shalom-Campo融合算法(ｆｕｓｉｏｎ　　Bar-Shalom-Campo)