shuangjidian

it use to extract thre feature of ecg signal using pca

easy code taking picture from web cam and showing the countours - use the logarithm filter

Detect arrows(or other features) in a diagram

说明：  turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型turbo是一种极好的码型(用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码用于编码)

用盖世圆的方法进行信源数的估计，是自己查资料然后写的程序，并已经测试过，估计结果的准确率挺高的。(Estimate the number of signal sources with matchless way round)

说明：  Mathieu函数工具箱，在弹性波波场分析中一个很有的工具(Mathieu Functions Toolbox v_1_0)

计算信号的希尔伯特-黄变换。 将HHT.m中的sig改成需要计算的信号即可。(Calculating signal Hilbert- Huang Transform. )

matlab codes image processing

用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation function [sys,x0,str,ts]=s_function(t,x,u,flag) switch flag, Initialization case 0, [sys,x0,str,ts]=mdlInitializeSizes Outputs case 3, sys=mdlOutputs(t,x,u) Unhandled flags case {2, 4, 9 } sys = [] Unexpected flags otherwise error([ Unhandled flag = ,num2str(flag)]) end mdlInitializeSizes function [sys,x0,str,ts]=mdlInitializeSizes sizes = simsizes sizes.NumContStates = 0 sizes.NumDiscStates = 0 sizes.NumOutputs = 3 sizes.NumInputs = 1 sizes.DirFeedthrough = 1 sizes.NumSampleTimes = 0 sys=simsizes(sizes) x0=[] str=[] ts=[] function sys=mdlOutputs(t,x,u) x11d=sin(pi*t/2) x21d=cos(pi*t) x31d=1 sys(1)=x11d sys(2)=x21d sys(3)=x31d )

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)