qingxiejiaozheng

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

求解一维热方程。采用经典的Crank—Nicolson差分格式(Solving one-dimensional heat equation. Using the classical Crank-Nicolson Difference Scheme)

Specific color noise generator (MatLab function)

可以读入.mav格式的音频文件，同时可以仿真出此音频文件的时域及频域的波形图，加入噪声后，可以仿真出加噪后的音频时域及频域波形，并保存新的音频文件。(Mav format audio files that can be read into simulation time domain and frequency domain waveform diagram of audio file, you can add noise simulation time domain and frequency domain waveform plus noise audio, and save the new audio files.)

一个VC与MATLAB混合编程的简单示例，需用到ibmatpm.lib libmmfile.lib libmcc.lib libmatlb.lib libmx.lib libmat.lib(VC++ and Matlab mix-program demo ，must include ibmatpm.lib libmmfile.lib libmcc.lib libmatlb.lib libmx.lib libmat.lib)

使用SCOP和OMP算法估计AOA，进而得到信道参数，信道得以准确估计(Use SCOP and OMP algorithm to estimate AOA, and then get the channel parameters, to accurately estimate the channel)

说明：  32qam调制在AWGN信道中的符号误码率(32qam modulation symbols in the AWGN channel BER)

BNB20 Finds the constrained minimum of a function of several possibly integer variables. ％ Usage: [errmsg,Z,X,t,c,fail] = ％ BNB20(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options,P1,P2,...) ％ ％ BNB solves problems of the form: ％ Minimize F(x) subject to: xlb <= x0 <=xub ％ A*x <= B Aeq*x=Beq ％ C(x)<=0 Ceq(x)=0 ％ x(i) is continuous for xstatus(i)=0 ％ x(i) integer for xstatus(i)= 1 ％ x(i) fixed for xstatus(i)=2 ％(BNB20 Finds the constrained minimum of a fu nction of several possibly integer variables. % Usage : [errmsg, Z, X, t, c, fail] =% BNB20 (fun, x0, xstatus, xlb, xub, A, B, Aeq, Beq, nonlcon. settings, options, P1, P2, ...)%% BNB solves problems of the form : Minimize% F (x) subject to : xlb)

STATCOM在非线性负载的传输线的改进 所需 MATLAB版本MATLAB 7.10 (improvement non linear load in tranmission line Required Products MATLAB MATLAB release MATLAB 7.10 (R2010a) )

,在MATLAB环境下对 学生自主学习成绩决策表进行了求解,分析了该决策表的上近似集、下近似集、不可分辨关系、约简、核集、属性依赖度的概念,从而 在原始数据的基础上得出了条件属性与决策属性间的关系。 (The knowledge theory based on rough set can help to simplify the knowledge proceeded from originaldata. In the paper it intro- duces the rough set theory and its principle algorithms. MATLAB Rough SetToolbox is programmed to analyze the decision table of self-learn- ing system from students score database.The concepts such as the upper approximation, lower approximation, indiscernibility relation, reduc- tion, core set, and attribute-importance are analyzed based on the score database table.Thus, the relations between condition attributes and de- cision attributes of the score database are obtained on the basis of original data. )