nevrlnterceptingvevr

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) )

说明：  去除坏平均值的mrs预处理：在fid-a软件中从mrs数据阈值中去除坏平均信号，以获得更好的效果(mrs preprocessing for remove bad average : removes the bad average signal from mrs data threshhold in FID-A software for better result)

有循环检测，周期性检测，是一种双隐层反向传播神经网络，有PMUSIC 校正前和校正后的比较，匹配追踪和正交匹配追踪，Relief计算分类权重，实现典型相关分析。

模拟退火法源程序，给出模拟退火法解决优化问题的matlab例子(Simulated annealing method source program)

利用MATlab编程实现对信号的滤波分析(Programming using MATlab filtering of the signal)

These probes are for use with the Simscape multi-domain physical modeling tools (Simscape, SimHydraulics and SimElectronics). The ssc_Probes.slx library file contains probes for viewing the through and across variable for each domain. The ssc_dc_motor.slx model file is an example of how to use. See Help block for additional usage notes.

Compute the matrix of mel filter coefficients given the sampling frequency, the length of the FFT and the number of desired mel filter channels.

包含k-means、k-modes和k-prototype的算法，是根据网上一个开源的工具箱进行简要修改后完成的

Bandelet变换的图像处理工具箱，包括图像处理的源程序(Bandelet transform image processing toolbox, including image processing of the source)

基于虚拟现实工具箱创建的仿人机器人平台，在该平台上结合matlab仿真工具箱可以进行机器人的控制研究。(Virtual Reality Toolbox to create a humanoid robot platform, the platform can be combined with matlab simulation toolbox robot control.)