matlab-examples1

一种MIMO雷达系统的合成孔径雷达成像的方法(A_method_of_MIMO_system_for_synthetic_aperture_radar_imaging)

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

用Matalab模拟泊松过程 我们的大作业 (use Matlab simulation, test and the estimated possion)

背包问题的模拟退火算法的实现，很好的解决了好复杂性问题(Knapsack problem simulated annealing to achieve)

QuantLloyd using matlab

图像去噪算法进行回顾，以崭新 之一。寻找有效的图像去噪方法仍然是一个有效的挑战，在 功能分析和统计数据的交叉(A REVIEW OF IMAGE DENOISING ALGORITHMS, WITH A NEW ONE.The search for efficient image denoising methods still is a valid challenge, at the crossing of functional analysis and statistics)

说明：  图像量化方式，模糊C均值 可用于图像分类(Fcm for image Quntation)

根据公汽线路信息数据，编写对任意车站，寻找通过该站的汽车线路的M文件； （3）编写M文件，对任意两个车站m,n，判断是否有线路通过这两车站，若有则编写寻找通过该站的汽车线路的M文件 （4）对任意两个车站m,n，若没有线路直接通过这两车站，编写通过一次转车而到达两站的M文件 (According to the bus line information and data to write on any station to find the M-file line through the station car (3) the preparation of the M-file, any two stations m, n, determine whether the line through these two stations, if write to find the M-file line through the station car (4) any two stations m, n, if there is no line directly through the two stations, the preparation time to change trains to reach the M-file of the two stations)

moblie chatting application used for the nokia, samsung and other

基于MFCC参数和DTW算法的语音识别算法，对0-9这十个数字的中文发音进行识别。该程序对特定的三个人的声音做训练，并用来识别这三个人之外的30个人的发音，即特定人的集合外的识别，程序中已有语料。(The MFCC parameter and DTW algorithm-based speech recognition algorithm, the 0-9 ten digits Chinese pronunciation recognition. Do training of the program on the specific person' s voice and is used to identify these three individuals outside of the 30 individual pronunciation, i.e. the identification of the collection of a specific person, the program already corpus.)