jiezhi

深度有向寻圈。访问当前某个顶点的后继，再访问后继的某个子顶点，若没有，返回上一层访问其他后继(Depth of the search circle. The current follow-up visit to a vertex, then visit a subsequent sub-vertex, if not, return to the level of other follow-up visit)

说明：  hermite 这是matlab源代码程序(hermite this is the matlab hermite)

基于压缩感知(应用匹配追踪算法)处理一维信号(MP compressed sensing using matching pursuit)

three seven segment simulation in matlab

this zip file contains IEEE 30 bus test system infomation in matlab m file, figure and siutable refrence for system test info. good luck

基于FPGA和Matlab的均衡滤波器设计与实现 基于MATLAB的数字均衡器的设计 采用FPGA实现基于LMS算法的自适应均衡器的设计研究 PWM控制的FPGA实现 等众多与FPGA、MATLAB相关的滤波器和均衡器设计 ( FPGA and MATLAB design of filter&EQ)

matlab 实现数据的短时傅里叶变换 自己测试通过(short time Fourier transform matlab achieve data test by)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

鲁棒迭代学习控制的设计 　　对不确定时滞系统的基础 　　在性能指标(Robust iterative learning control design for uncertain time-delay systems based on a performance index)

说明：  matlab 实现文字提取 及正负面分析(Text Classication and Sentimental Analysis)