workspaceP(2)

说明：  试编写一程序，要求比较数组ARRAY中的三个16位补码数，并根据比较结果在终端上显示如下信息：1如果三个数都不相等则显示0；2如果三个数有两个不相等则显示1；3如果三个数都相等则显示2。(Try to write a procedure that requires more in the array ARRAY complement of three 16-bit number, and the terminal on the basis of comparative results show the following information: 1 if the three numbers are not equal, display 0 2 if two of three the number of Showing 1 are not equal 3 If three numbers are equal, displays 2.)

在matlab中，采用模糊神经网络对监控水资源(In matlab using fuzzy neural network monitoring water)

BPSK 系统的卷积编码和viterbi译码过程(Convolutional coding for BPSK system and its viterbi decoding process)

MATLAB 简单编程 包括很基础的程序(MATLAB programming including very simple basic procedures)

matlab小世界网络 主要是复杂网络 希望对大家有帮助(matlab internet)

此段matlab代码实现数据的读入，可以自定义主成分的个数，也可以根据信息来那个的百分比来确定PC的个数(Paragraph matlab code data read into, you can customize the number of principal components, according to the percentage of the information that determines the number of the PC)

模糊逻辑工具箱函数包括定义语言变量及其隶属度函数、输入模糊推理规则、整个模糊推理系统的管理以及交互式地观察模糊推理的过程和输出结果。(Fuzzy logic toolbox functions including definition language variables and their membership functions, input fuzzy inference rules, the fuzzy inference system management and interactively observe fuzzy reasoning procedure and output result.)

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

基于特征评估及约简的邻居粗糙集方法，可以用于粗糙集属性约简(Feature-based assessment and neighbors rough set reduction methods )

说明：  英文书《Digital Signal Processing with Examples in MATLAB》附带的MATLAB实例(English book )