lorentzfit

这是关于混沌理论及应用方面的基础资料,希望对大家有帮助,里面含有几个falsh信道模型(This is on the application of chaos theory and the basis of information you would like to help, which contains several falsh channel model)

说明：  完善网络结构将RBF网络的径向基换成小波函数，调整权值以及公式的变更， 可望在仿真结构中添加非奇异项以验证小波网络的辨识精度和能力，输入层加权值进行调整~..~(to improve the network structure of the RBF network replaced wavelet Radial Basis Functions, value and the right to adjust the formula change, the simulation structure is expected to add non-singular wavelet network to verify the accuracy and the ability to identify, input layer weighted value adjustments )

说明：  IEEE14节点潮流算法，牛顿法，考虑了节点顺序优化(IEEE14 node flow algorithm, Newton method, consider a node sequence optimization)

there are very useful codes in this file

对轴承振动信号进行滤波和包络频谱分析，可通过包络谱发现轴承故障，也可用于其他故障诊断的研究，程序已调试通过(Bearing vibration signal filtering and envelope spectrum analysis, bearing failure can be found through the envelope spectrum can also be used to study other troubleshooting procedures have been debugging through)

回归分析的好东西spss09回归分析 (Regression analysis regression analysis of the good things spss09 )

画运动矢量的好例子。用matlab实现 画运动矢量的好例子。用matlab实现(Painting a good example of motion vector. Using matlab to achieve a good example of motion vector drawing. Achieved using matlab)

矩量法（Pocklington）分析半波振子天线电流特性，方向图(Analyse DipoleAntenna with MOM(Pocklington))

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) )

通用型蒙特卡洛程序MCNP4c的中文教程，详细介绍了软件的使用方法(General-purpose Monte Carlo program MCNP4c Chinese tutorial details the use of software)