siso

it is an implementation of the algorhytm for the identification R peaks based on Pan-Tompkin

统计学习编程题目，是在做作业的时候碰到的一些小例子，对统计学习课程的学习有帮助(Statistical learning programming problem, some small examples encountered at homework time, can be helpful to learn the statistical learning courses)

说明：  用于变量的降维，是目前为止最好的降维方法，是比较常用的降维方法之一。(For variable dimension reduction)

说明：  这是学习matlab的经典课件的第二部分，第六到九章，包含微分方程求解、代数方程与最优化问题求解、概率论与数理统计问题求解、数学问题的非传统解法等等 (This is a classic learning courseware matlab second part of the sixth to nine chapters, including the differential equation solving, algebraic equations and optimization problem solving, probability theory and mathematical statistics, problem solving, mathematical problems of non-traditional method, etc.)

自己编写的MATLAB系统里没有的拉格朗日插值的源函数程序(Write your own MATLAB system the source of the Lagrange interpolation function program)

小波域高斯混合模型与中值滤波的混合图像去噪研究(Mixed image de-noising in wavelet domain Gaussian mixture model and median filtering)

hspice的matlab工具箱，可以读取Hspice的输出文件，放到matlab中处理(hspice matlab toolbox)

通过仿真表明，该算法同几种经典的分布式算法相比，不但降低了发送功率，提高了用户效用，而且有较好的收敛性能，适用于对时延特性要求较高。(Through the simulation shows that this algorithm with several classic distributed algorithm, not only reduce the sending power, improve the user utility, and has better convergence performance, suitable for time delay characteristic request is higher. )

Boundary element method function [index,g,h,a,unb,x,u,un,uin]=bemlabecom(n,c,index,in,cin) [index,g,h,a,unb,x,u,un,uin]=bemlabecom(16,[0 0 0.25 0 0.5 0 0.75 0 1 0 1 0.25 1 0.5 1 0.75 1 1 0.75 1 0.5 1 0.25 1 0 1 0 0.75 0 0.5 0 0.25 0 0],[1 0 1 0 1 0 1 0 0 200 0 200 0 200 0 200 1 0 1 0 1 0 1 0 0 100 0 100 0 100 0 100],9,[0.25 0.25 0.50 0.25 0.75 0.25 0.25 0.50 0.50 0.50 0.75 0.50 0.25 0.75 0.50 0.75 0.75 0.75]) in bemlabecom2 we change a & unb to : a1 a2,unb1 unb2 n=number of nodes=number of element=number of point c=matrix that determine the coordinate of point m=coordinate of nodes in global coordinates index: determine u or un for boundary nodes in:number of internal nodes cin: coordinate of internal nodes

This Filter provides a selective mean (averaging) lter. In contrast to the standard mean lter,it preserves edges better and is less sensitive to outliers(outliers are those that are not included in the measurement taking place.In this case averaging). The lter smooths an image by taking an average over the neighbouring pixels, but only includes those pixels that have a value not deviating from the current pixel by more than a given range. The range is dened by the standard deviation of the pixel values within the neighbourhood . If the number of pixels in this range is too low (less than `Minimum Pixel Fraction ), averaging over all neighbouring pixels is performed.With the `Outlier Aware option, averaging over all neighbouring pixels excludes the center pixel.