liantong

有限差分法求解泊松方程 一个例子 比较精确解和数值解(Finite Difference Method for Poisson equation； An example to compare the exact solution to the numerical solution)

GABOR 滤波器的实现方法的MATLAB源程序实现。实现方法比较简单，适合初学者学习。(Implementation of GABOR filter MATLAB source implementation. Implementation is relatively simple, suitable for beginners to learn.)

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

遗传算法工具箱 给出遗传算法中所有能用到的所有函数，给使用者带来方便。(Genetic Algorithm Toolbox Genetic Algorithm give all to all the functions can be used to bring convenience to users.)

两信号发射机在交叉区域的接受波形图的matlab仿真程序 (The two signal transmitters accepted in the cross-wave region of the matlab simulation program )

6 degree of freedom simulink model of paraglider

用matlab语言实现了ldpc码的编码(Matlab language LDPC code encoding)

说明：  轮廓波工具箱，是一个非常有用的图像分解和合成变换(contourlet toolbox)

着重介绍了OFDM 系统 中的峰值平均功率比（PAR）问题，给出了峰值平均功率比的定义以及高PAR 产 生的原因和它带来的问题，并且分析了OFDM 系统内PAR 的分布，最后对国内 外各种降低PAPR 的方法进行了简单介绍。(Focuses on the OFDM system The peak to average power ratio (PAR), and gives the definition of peak to average power ratio and high PAR production Health reasons and problems it brings, and the analysis of the distribution of the PAR of OFDM system, the last of the domestic A variety of methods to reduce PAPR outside a brief introduction.)

多元变化检测（MAD）、最大自相关因子（MAF）、典型相关分析（CCA）、主成份分析（PCA）的Matlab代码(Matlab code to perform multivariate alteration detection (MAD) analysis, maximum autocorrelation factor (MAF) analysis, canonical correlation analysis (CCA) and principal component analysis (PCA) on multivariate image data)