WienerScalart96

功能化一个输入向量利用Savitzky-格雷平滑滤波器的基础上一定程度的多项式的长度和移动窗口(The function smooths a input vector using Savitzky-Golay smoothing filter based on the degree of polynomial and the length of moving windows )

Add channel to cooperative diversty

用于灰色关联系数和灰色关联度的计算，其中进行了初值化和归一化处理。(Correlation coefficient for the gray and gray correlation calculation, which carried out the initial value of and normalized.)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)

Kernel Methods Toolbox a MATLAB toolbox for nonlinear signal processing and machine learning

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)

输入为一个序列或两个序列，输出为其自相关序列或互相关序列(Input as a sequence or two sequences, the output of its autocorrelation sequence or cross-correlation sequence)

用MATLAB编写的TLS-ESPRIT算法，算法原理可参考张贤达版的现代信号处理，绝对可运行，程序配合书非常容易理解，而且稍微改改就可以变为基本的ESPRIT算法。(Written by MATLAB TLS-ESPRIT algorithm, the algorithm can refer to Zhang XD version of the principle of modern signal processing, absolutely can run the program with the book is very easy to understand, and can become a little change to change the basic ESPRIT algorithm.)

This function calculates the RND from a cross-section of put prices using the PCA method as described in O. Bondarenko. ``Recovering Risk-Neutral Densities: A New Nonparametric Approach, UIC working paper, September 2000. (This function calculates the RND from a cross-section of put prices using the PCA method as described in O. Bondarenko. ``Recovering Risk-Neutral Densities: A New Nonparametric Approach, UIC working paper, September 2000. )

将有限元软件到处的数据转换成txt，很好用哦(Full data of the finite element software to convert txt, very easy to use!)