bayesClassifier

matlab 经典绘图教程，珍藏版的，从零学起的好东西(Matlab tutorial classic drawing, the editions, from zero to learn from good things )

Matlab中OFDM等一系列代码分享 (Matlab, OFDM and a series of code-sharing)

通过设计高斯滤波器的参数值，仿真分析了对同一方波的影响。(Simulation analysis by the value of the design parameters of the Gaussian filter, the same square wave.)

软件程序按照发射端所掌握的各用户信道状态信息的程度共分为两部分：即完整信道状态信息(CSIT)和部分信道状态信息(CSIP)。其中，每一部分都包括预编码(precoding)和用户调度(scheduling) 在CSIT中，precoding又按照各用户的数据流数分为单数据流和多数据流两种情况。在每种情况下，首先考察了不同预编码算法的性能表现，包括两种ZF、MMSE、SINR、SLNR。之后又考察了功率分配算法的性能表现（文件名中含有PD表明其含有功率分配的过程）。按照不同指标进行功率分配的，在文件名中进行了区分，如PD_CN代表以信道范数为参考指标进行功率分配。Scheduling部分首先观察了RoundRobin、MaxH和MMSLNR三种算法的性能对比。之后在Kc和Round部分分别观察了不同预选用户数和不同最大替换轮数下MMSLNR算法的表现。 在CSIP中，只对各用户单数据流的情况进行了仿真。采用的预编码算法主要有DSLNR（即直接运用CSIT下的预编码算法）、ESLNR（即对SLNR进行均值计算的，在CSIP中，引入均值计算的与SLNR有关的算法，其文件名中都有modified以示区别）、EMMSE（即陈明老师那边的那篇文章中的预编码算法）。Scheduling中也只是简单的观察了RoundRobin、MaxH、DMMSLNR和EMMSLNR（前者没有均值计算，后者有）的性能对比。(The degree of channel state information for each user software program in accordance with the master transmitter consists of two parts : the complete channel state information (CSIT) and partial channel state information (CSIP). Wherein , each of which comprises a pre- coding (precoding) and the user scheduling (scheduling) In CSIT in , precoding and each user according to the number of data streams into a single data stream and multiple data streams in both cases . In each case , first examine the performance of different pre- coding algorithm, including two ZF, MMSE, SINR, SLNR. After they inspected the power allocation algorithm performance ( file name contains PD showed that it contained power allocation process ) . According to different indicators for power distribution , make a distinction in the file name , such as PD_CN representative channel norm-referenced index for power distribution . Scheduling section first observed the performance comparison RoundRobin, MaxH and MMSL)

说明：  用的逐步定线方法，在解决这个问题中并不是一个很有效的方法，我想最好的方法为Dijkstra，但Dijkstra编起来比较简单（已有源程序，只须改变权矩阵），没有再进行练习。 程序编制的比一些比赛论文中的要精细一些，但结果不是很好。(The progressive alignment method used in solving this problem is not a very effective way, I think the best way to Dijkstra, but it is relatively simple Dijkstra Code (has source code, just change the weight matrix), no further to practice. Programming than some games should be fine in a number of papers, but the results are not very good.)

This file is very important for student ....

基于最小误差平方算法的线性分类程序，matlab实现。(Algorithm based on the least square error linear classification procedures, matlab realize.)

利用Matlab进行文件处理，针对超级好用的背单词软件Supermemo的需求，把原始的数据转换成要求的格式，附带一个GRE原始词汇(Using Matlab for document processing, word for super-easy to use software Supermemo back demand for the raw data into the requested format, with the original terms of a GRE)

gauss method of matlab

一卡一车，停车刷卡闸门打开，开始自动计时计费；取车刷卡闸门打开，自动统计停车时间及所需缴纳的费用。(A card for a car, parking gates open credit card, start the automatic time billing take the car to open the gate card, automatic statistics downtime and required to pay costs.)