FBMC_OQAM-system

用于粒子滤波的，讲解详细！初学者可以很容易地看懂！(For the particle filter, and explain in detail! Beginners can easily understand!)

eof分解用的函数，说明如下：function [EOF,PC,F,diff]=EOFcgx(X) EOF分解。Xm*n 空间数据维数m，n为时间采样点 返回值EOF为空间模态,PC为时间模态。第一空间模态EOF(:,1),第一时间模态PC(1,:) 返回值F为特征值，diff为误差 (eof decomposition function as follows: function [EOF, PC, F, diff] = EOFcgx (X) EOF decomposition. Xm* n spatial dimension m, n is the time of sampling points Returns the value EOF spatial modes, PC is the time modes. The first space modal EOF (:, 1), the first time the modal PC (1, :) Return value F for eigenvalues, diff for error )

matlab求交点，包括直线与直线的交点，直线与曲线的交点，曲线与曲线的交点(Matlab intersection point, including the intersection of straight line and line, intersection of straight line and curve, and the curve of intersection curve)

鲸鱼群算法，新型算法,matlb程序，可以测试，里面还包含很多最近出现的新型算法(Whales algorithm, the new algorithm, matlb program, you can test, which also includes many new algorithms recent)

用matlab实现基于网格匹配的图像拼接，其中网格大小需要自己依据图片大小进行调整(Using matlab to achieve grid-based matching of image mosaic, in which the size of the grid need to be adjusted based on image size)

function to generate hexagonal nanonetworks with pores with various

在有限区域内分布的稀疏不均的、具有一定分布结构的海量数据集的高效、高精度聚 类问题是一个尚未完全圆满解决的难题。针对Affinity Propagation 聚类算法(AP)的不足之处， 提出了两个改进型的聚类算法(In a limited area of uneven distribution of sparse, has certain distribution structure of the mass datasets of high efficiency, high precision together Problem is a perfectly solved problem has not yet completely. For Affinity Propagation clustering algorithm (AP) of the deficiencies, Put forward the two improved version of the clustering algorithm)

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)

matlab程序设计实例源码解析matlab programming examples of source analysis(matlab programming examples of source analysis matlab programming examples of source analysis)

混沌通信系统mA-ACSK的仿真，画出理论情况下和实际仿真情况下的几种误码率去曲线图(Exact Analytical Bit Error Rates for Multiple Access Chaos-Based Communication Systems )