Image-Processing

说明：  基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化(Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize)

潮流计算 pq 法 详细的程序在里面，，很好用个(FLOW pq yew yes yes yes yes yes)

Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO to scheduling problems are extremely few.

自适应波束形成图演示，不同条件下波束形成的性能，适合初学自适应信号处理的朋友(adaptive beamforming of different situations,suitable for beginners)

metlab各种小程序，内容广泛.适合入门的同学学习(metlab)

Gaussian3D Creates 3-D Gaussian Kernel of specified width sigma_array=[sigma_x, sigma_y, sigma_z]

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

计算rsana指标，顺带输出hurst指数(Calculate rsana index and output Hurst index)

说明：  用来进行温湿度反演的前期工作，标准大气吸收模型，权重函数，(temperature and humidity retrieval, standard atmospheric aabsorbtion model )

matlab环境下的时频分析，有仿真结果，有程序，希望对初学者有用(matlab Frequency-time analysis)