AdaBoost

说明：  matlab图像处理：color axis例程(matlab image processing: color axis routines)

能用来求解QCQP等优化问题，简单实用。内附说明书。(using for optimal problems like QCQP, and it s easy to use.)

说明：  Matlab数据统计和分析的程序，包含下面所列的多种算法的 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对样本进行分类 MainAnalysis 对样本进行主成分分析(Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis)

基于切比雪夫最佳一致逼近设计了低通、高通、带通、带阻线性相位FIR滤波器(Based cut Chebyshev best uniform approximation to design low-pass, high pass, band pass, band-stop linear-phase FIR filter)

Dandn文件给出了输入参数的名称及格式，即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Dandn file gives the name and format of the input parameters, namely, the input before calling the prim adjacency matrix D and the number of nodes n prim get two lines of the input matrix T, the bottom two lines connected to the node numbers corresponding)

复杂网络的一个特征是无标度，该软件提供了一个无标度网络的生成过程(A feature of complex networks is scale-free, the software provides a scale-free network generation process)

压缩感知 L1范数最小化算法正交匹配追踪法重构信号(compressive sensing L1-norm OMP signal reconstruction )

Used to simulate fourth-folder dendrite growth

matlab与C语言的接口教程，能将matlab程序语言 直接转换为c语言，非常详细，千万不过错过，快点下吧！！！！(the interface of matlab with C language )

will implement either Jacobi, Gauss-Seidel or SOR iterative techniques to solve the problem