ofdmdemo

matlab编写的有关图像识别分类方法的源代码，有学习价值(matlab prepared by the image recognition classification of the source code, learn the value of)

改进了BIHT中的观测矩阵，实验结果证明，误差更小了(change the measurement matix,result better)

源代码 matlab源代码 m文件 基于MATLAB的Reed_Muller码编译码仿真(Source code matlab source code m file code decoding based on MATLAB simulation of Reed_Muller)

基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 (Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data samples 2, using the C++ or Matlab programming environment to realize the algorithm, and with a given data packet to the algorithm correctness testing )

说明：  垂直阵测量误差分析及甚宽频带恒定束宽性能，吴国清的论文(Vertical array analysis and measurement error is very broadband constant beamwidth performance, Wu Guoqing papers)

有关MATLAB基础教程的程序，希望对下载的人有所帮助。(based on MATLAB Guide to the procedure, hoping to download the help.)

使用虚拟处理器的SPMD 并行程序，我将介绍使用虚拟处理器的一些结果 技术，并行计算程序的一些SPMD。 “ 测试的技术真正的处理器是英特尔超线程， 和程序，浮点计算的MATLAB脚本。 工作的关注实用和限制的结论 使用的方法。主要结果是，使用虚拟处理器 不仅为改善并行程序是一个很好的技术 基于内存的计算，但在大量的磁盘存储的情况下 操作太多。 (Using virtual processors for SPMD parallel programs，I describe some results on the use of virtual processors technology for parallelize some SPMD computational programs. The tested technology is the INTEL Hyper Threading on real processors, and the programs are MATLAB scripts for floating points computation. The conclusions of the work concern on the utility and limits of the used approach. The main result is that using virtual processors is a good technique for improving parallel programs not only for memory-based computations, but in the case of massive disk-storage operations too)

matlab环境下，使用双线性插值法实现缩放图像(matlab environment, using a bilinear interpolation method to achieve image zoom)

Genetic Programming Toolbox

gotchars for C++ programming