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SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

文中对Matlab语言进行了最基础的介绍，从起开发背景到其具体应用。(text of the Matlab language for the most basic introduction, starting from the background to the development of their specific application.)

在多吸引子的情况下, 求解系统完整的分岔图(more attractors in the case, a complete system for the bifurcation plan)

用余弦法仿真的瑞利衰落，包括自相关互相关、功率谱密度等等。依据是Chengshan Xiao2003年的文章。(Cosine method for simulation of Rayleigh fading, including the auto-correlation cross-correlation, power spectral density and so on. Based on the the Chengshan Xiao2003 article.)

car counting using matlab from matlab demos

FWM power for various wavelenght separations

LDATRACE Calculates an LDA transform to maximize trace discriminant

内含电脑维护，故障处理等，实用性极强！值得下载！(Includes computer maintenance, fault handling, practicality strong!)

认知无线电资源分配的经典文章，有时间大家可以看一下，写的挺好的。(failed to translate)

非线性方程组N-L解-数值方法(MATLAB版 第4版).pdf(Nonlinear equations NL- A numerical method (MATLAB version 4). Pdf)