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Arithmatic code in matlab

The DocPolynom to Character Converter The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate. The char method uses a cell array to collect the string components that make up the displayed polynomial. The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB. Here is the char method.

模糊聚类分析,常规的聚类方法，可以使用于经济、生物、社会调研等各方面分类(fuzzy clustering)

有限元的MATLAB程序，该MATLAB程序使用有限元法解决连续体的位移及受力问题。使用限制：节点处可受集中力，每一单元可受一个集中力，每边可受一常值边界力(Finite element MATLAB program, the problem of the MATLAB program using the finite element method to solve the continuum displacement and stress. Use restrictions: nodes under concentrated force, every unit can be subjected to a concentrated force, each side by a constant boundary force )

说明：  BP_Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器，利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)

MICA软件包，可在MATLAB 5或MATLAB 6环境下运行(MICA package, MATLAB 5 or in the MATLAB 6 environment running under)

说明：  Matlab下生成最短路径的程序。首先在m脚本文件canshuo.m中输入节点个数和路径权重，在命令窗口中输入canshu，用s=12,e=10的格式输入要求的起止点，再输入main即可得到两点之间的路径和长度。(This is the codes for Matlab to generate the shortest way.)

matlab编成教程，在短时间内进行编程学习(matlab compiled the tutorial, in a short time to learn programming)

building a digital channel with calculating ber

SV_C信道建模的matlab实现，多径信道的信道增益系数服从对数正态分布！(SV_C channel modeling of the matlab implementation, multi-path channel the channel gain coefficient lognormal distribution!)