svpwm

AF协作分集信道与M-QAM自适应调制技术的系统频谱效率分析(AF cooperative diversity channels with M-QAM adaptive modulation spectral efficiency of the system)

自适应Huffman编码基于MATLAB的实现(Adaptive Huffman Coding MATLAB-based implementation)

Experiments with MATLAB这本书所附的源代码。用MATLAB进行仿真实验。(Experiments with MATLAB)

Calculate QTF for designing SDM

深度置信网络源码，有配合的文档可以参考，详见内容(DBN source code)

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)

卷积编译码，采用viterbi译码来对其进行仿真(this is convolutional)

SPICE的代码，可以运行基于相关矩阵的估计方法，这个方法可以应用于稀疏求解，例如求解DOA(the matlab code for SPICE, it s a sparse covariance-based method for sparse solution, e.g.,the solution for the estimation of DOA)

matlab维纳滤波器实现，数字信号处理和自动控制领域必知的一个算法。(Wiener filter matlab realize, digital signal processing and automatic control must know an algorithm.)

Modeling and control wind turbine