Programmingproblem

用matlab编写的人脸检测的算法，包含图片库，可以直接运行，检测出人脸在图片中的位置。(Matlab prepared with face detection algorithms, including image libraries, can be run to detect the face position in the picture.)

在目标为1的假设下，应用relax算法进行目标超分辨成像(The assumption that the target was 1, applying relax super-resolution imaging algorithm for target)

国外大学 OFDM 仿真系统 很经典 是同学从国外带回来的(Foreign universities classic OFDM simulation system is the students brought back from abroad)

说明：  建立了高效的优化模型，能够迅速处理大量的数据。(Establishment of an efficient optimization model to quickly process large amounts of data.)

calculation of gaussian filter

说明：  matlab平台上实现FXLMS算法的例程(The routine of FXLMS algorithm on MATLAB platform)

时域有限差分法-2维自由空间传输电磁场分布(Finite Difference Beam Propagation Method)

说明：  fortran 调用matlab引擎实例(FORTRAN examples Matlab engine)

这个是我在网上找的关于小波分解和重构的matlab程序(This is my search on the net on wavelet decomposition and reconstruction of matlab program)

说明 在此分类的PRJ我们试图通过分配给每个签名的两个不同的公司标识由一个特别号码提取水平和垂直扫描每幅图像矩阵。每个标志图片被截断成二进制后调整大小。这是由核心例行imcount.m，而主编testpng.m运行compelte测试结果显示出来。每个标识的痕迹便可以进一步处理像一个合适的神经网络学习，推理机等熵类分类指数使用的系统是更好的有关报告，从http://cag.dat下载的解释。 demokritos.gr/publications/TR2011-1.pdf。 该例程index0.m提取每个图像矩阵的行/列聚类分析，现在可以用来替换为最新版本的“cluster.m“另一包“DEC2NARY“我们Mathworks公司提供的帐户中。 MATLAB的MATLAB的版本7.4（R2007a）(Description In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.dat.demokritos.gr/publications/TR2011-1.pdf. The routine index0.m used for extracting the cluster analysis of each image matrix row/col can now be replaced by a most recent version "cluster.m", contained in another package "DEC2NARY" available by our Mathworks account. MATLAB release MATLAB 7.4 (R2007a) )