pingfanggen

LSTC(分层空时码)的BLAST系统用matlab语言实现其系统仿真，非常有用的源代码。(LSTC for BLAST system ，the source code for space time coding method using matlab language，very useful。)

扰动观察法实现MPPT的程序，可以加深对MPPT的理解(Perturbation and observation method of MPPT m program)

ofdm 4 QAM调制，整个ofdm系统(ofdm)

说明：  逐步线性回归，应用matlab对数据进行逐步线性回归，经过测试，方便好用。(Stepwise linear regression matlab application data stepwise linear regression)

how to estimate the optical flow with horn and schunk method

阵列信号处理常用的MUSIC算法，包括经典MUSIC，求根MUSIC，基于四阶累积量的MUSIC等(MUSIC usual array signal processing algorithms, including the classic MUSIC, Root MUSIC, based on fourth-order cumulant MUSIC etc.)

说明：  快速脊波逆变换。也称为伴随和伪逆。也成为快速三角波逆变换。(Fast Inverse Curvelet Transform.This is in fact the adjoint, also the pseudo-inverse)

用matlab进行图像处理程序，可对图像进行对比度、灰度处理。(Matlab image processing procedure, but the image contrast, gray processing. )

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.)

pso应用基本程序，adhoc应用的一些简单的小程序(PSO application of the basic procedures, adhoc application of some simple applets)