coord_change

GP算法计算关联维的 Matlab 程序 GP算法计算关联维的 Matlab 程序(GP algorithm for calculating the correlation dimension of the Matlab program GP correlation dimension algorithm of Matlab procedures)

ofdm信道估计的MSE性能比较,阐述了几种经典算法仿真性能的对比(MSE compare of OFDM estimation)

柔性直流输电模型，基于matlab的demo的，可以再matlab的help上了解模型详情(Flexible HVDC model, based on the matlab demo.you can get help the model matlab help )

有详细的注释，AHP层次分析法计算判断矩阵的最大特征值,多元数据分析的主分量分析投影。( There are detailed notes, Calculate the maximum eigenvalue judgment matrix of AHP, Principal component analysis of multivariate data analysis projection.)

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) )

有关可变码长的LDPC编码电路的设计与实现和一些相关的英文资料以及文献(LDPC)

采用极大值法实现图像处理中的小波去模糊。基于matlab函数实现。(Using the maximum value method to achieve image processing wavelet deblurring. Based on matlab function implementation.)

为了对目标进行快速的检测，提出了一种新的基于支持向量机的级联式分类器的构造方法。该级联分类器由若干个线性SVM弱分类器构成，结构简单，分类时间极快。针对级联结构中的每个节点的训练给出了一个新的SVM框架下的二次规划模型，这使得每个节点都有较高的正样本检测率和适当的负样本错检率。(In order to quickly detect the target, a new cascade based on support vector machine classifier constructor. The cascade is controlled by a number of weak linear SVM classifier structure, simple structure, classification of time fast. Cascade structure for the training of each node is given a new SVM quadratic programming model under the framework, which allows each node has a higher detection rate of positive samples and negative samples of appropriate fault detection rate.)

Tous les fabricants de variateurs de vitesse, qu’ils soient industriels ou bien distributeurs de matériel à usage pédagogique proposent des variateurs pour machine asynchrone. Historiquement, sont apparus sur le marché des variateurs dits à « U/f = constante » et plus récemment les variateurs à contrô le vectoriel de flux avec ou sans capteur.

说明：  IIR低通滤波器，matlab与verilog程序完全对应(iir low pass filter matlab result fully match the verilog output.)