bihuan

用于在matlab中实现非线性回归的支持向量机svm算法(Used matlab to implement non-linear regression algorithm of support vector machines svm)

短路仿真，可仿真接地故障、相间短路、相间短路接地。(Short circuit simulation, three-phase transformer three-phase short-circuit, single-phase short circuit, two-phase short-circuit and two-phase short-circuit ground)

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matlab程序 用于小波变换等相关变换 程序用过 挺好的(Matlab procedures for the wavelet transform, and other related procedures used very well transform the)

Simulatiom MIMO Zero Forsing, MMSE

sapjco3官网jar包，包中含有详细开发实例(sapjco3 official website of the jar package, the package contains a detailed example of the development)

说明：  主成分分析（PCA）的增量实施。 该算法在线更新每个变换系数矩阵新样本，而无需将所有样本保留在内存中。 在某种意义上，该算法在形式上等效于通常的批处理版本给定一个样本，将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))

功能：对矩阵A的左上角的m阶对角块作QR变换：先用Givens变换作QR分解A=QR， 再作相似变换A:=Q AQ=RQ. 输入: n阶HessenbergA，其中A(m+1,m)=0,m>2. 输出: 变换后的Hessenberg形矩阵A. 2 用基本QR算法求实方阵的全部特征值.(Function: the upper left corner of the matrix A, diagonal blocks of order m to QR transformation: first, to make QR decomposition using Givens transformations A = QR, re-similarity transformation A: = Q' AQ = RQ. Input: n-order HessenbergA, where A (m+1, m) = 0, m> 2. Output: transformed Hessenberg form matrix A. 2 matrix with the basic QR algorithm for all the characteristics of the value of truth-seeking.)

说明：  战胜MATLAB的50道经典习题，MATLAB最主要的就是练，希望对大家有用。(The 50 classic victory over MATLAB Exercises, MATLAB is the most important practice and hope for all of us.)

最新matlab2013b发布版的功能介绍，特别是一些新的功能模块，功能很强大(The latest release features matlab2013b introduction, especially some new functional modules, very powerful)