get_ft

ls算法，在matlab环境下编写而成，有助于对matlab和ls算法的理解。(ls algorithm)

MODEL modeling system markov

求解一个方阵的的按模最大的特征值及相应的特征向量。(By solving a square of the largest eigenvalue model and the corresponding eigenvectors.)

基本的拉格朗日乘子法(又称为拉格朗日乘数法)，就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ（即拉格朗日乘子），将约束条件函数与原函数联系到一起，使能配成与变量数量相等的等式方程，从而求出得到原函数极值的各个变量的解。 (Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.)

一些我在写毕业论文中用到的关于混沌的相关论文，都是一些有档次的，对我的论文很有帮助(Something I used in writing the thesis on the chaos of the relevant papers, are some upscale, very helpful for my thesis)

non linear poisson solver

说明：  里面包含了好几种模式识别的方法，非常的实用，可以直接用在自己的项目中(It contains several pattern recognition methods, very practical, can be directly used in their own projects)

选择输入信号的参数，以及抽样因子，以及采样参数，对信号分别进行上抽样和下抽样，方便非均匀采样的进行。(Select the input signal parameters, and sampling factors, as well as sampling parameters, respectively, on the signal sampling and down sampling, to facilitate the conduct of non-uniform sampling.)

matlab R2012a源代码（正太分解法计算均值和方差、图方法正太检验、M稳健回归）。((calculated the mean and variance diagram method, inspection, teenage boy M robust regression teenage boy decomposition method). .)

说明：  Levenberg-Marquardt算法 使用Levenberg-Marquardt算法来最小化(Levenberg-Marquardt algorithm using the Levenberg-Marquardt algorithm to minimize the model)