intro

图像的统计独立分量分解程序包，可以用于人脸识别，非监督分类，信号提取等领域(Image independent component decomposition of the statistical package, can be used for face recognition, non-supervised classification, the fields of signal extraction)

kvoting classifier useful in pattern recognition

国外牛人写的聚类算法，是k-means算法的升级版(Written by foreign cattle clustering algorithm, k-means algorithm is an upgraded version of)

This code finds the solution to a system of simultaneous linear equation using Gauss_Seidel Method.

衰落信道下的盲估计研究不同信噪比下典型相关分析(snr)

一段matlab的程序，供大家交流，学习数学应用软件是一件有益处的事情！(matlab)

此程序由matlab实现,用于对语音信号的功率谱密度进行估计.希望能有所帮助.(this procedure from Matlab realized, for the speech signal power spectral density estimation. hope to be helpful.)

matlab程序300例，帮助学习matlab(matlab program 300 cases to help learning matlab)

详细介绍了PID和模糊控制 专家控制 模糊自整定控制的原理和仿真(Details of the PID and fuzzy control fuzzy self-tuning expert control theory and simulation control)

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) )