BP-procedure

matlab_edge_embedded code

Rake Receiver graphical user interface

利用MATLAB7.0与VC6.0联合编程，通过com组件实现了二维曲线，非常好，保证没错误(VC6.0 joint programming with the use of MATLAB7.0 by com component implements two-dimensional curve, very good, to ensure no errors)

庞加莱截面绘制，可以自己调节参数，帮助学习(duffing poincare Poincare section drawing can adjust parameters to help learning.)

qpsk信号瑞利信道的仿真程序 有ber仿真效果图 推荐(Rayleigh channel simulation program )

电力系统配电网络计算潮流的程序，可以使用的。(Power flow calculation in electric power system)

本文件中包含的是对LInk11数据链进行高阶累积量的无源定位matlab代码，对初学者具有很好的作用。(Contained in this document is to LInk11 data chain cumulant passive location code, for beginners with good effect.)

说明：   使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。 (The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)

The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag. Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf

This function transforms a three-phase unbalanced phasor into its symmetrical components. The Three phasors can be expressed in a one column array in rectangular complex form or in a two column array in polar form, with 1st column magnitude and 2nd column phase angle in degree. The function returns the symmetrical components in rectangular form. The function plots the original unbalanced phasors and the symmetrical components.