rbfxunlian

computer vision toolkit tutorial

遗传算法matlab程序，非常好用，我已经用过(Genetic algorithm matlab program)

遗传算法去辨识一个系统：蒸汽锅炉汽包的水位函数，辨识阶数是2阶，而且最后有误差曲线分析(Genetic algorithm for the identification of a boiler steam water level transfer function. Based on the existing data, the transfer function is identified as order 2. And finally the error curve analysis)

目前，互联网上HHT信号处理技术有 三种实现方式，采用MATLAB编程语言，一种是法国研究者设计的G Rilling 2007 另一种是MATLAB文件交换中心由Alan Tan开发的plot_hht程序包，第三种是台湾中央大学数据研究中心提供的EEMD包。 其中，我使用了plot_hht程序包，其使用了三个终止条件，驻留分量的单调性，极值点与零点的个数相差不超过1，还有黄锷1998经典文献提出的 SD>0.1，单调性的判断，并不是去判定驻留分量是否是单调函数，而是当曲线是双曲线时，循环结束，由于没有考虑端点效应，程序比较简洁，好读懂，大家 学习HHT可以从这个程序包入手，在此抛砖引玉，希冀有人能比较这三种不同的算法的性能和时间复杂度，以及对各种信号的适应性。 (There provides three types of HTT program packages: one developed by France researcher G. Rilling 2007, the other provided by by Alan Tan from Matlab file exchange center and the third one by Taiwan Central University Data Research Center. Please start from the simple one by Tan to learn more.)

matlab codes for orthogonal frequency division multiplexing

matlab概率论与数理统计WORD文档(matlab Probability Theory and Mathematical Statistics WORD document)

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

用Matlab编写的关于Volterra级数算法的程序，有正在研究Volterra级数的可以看看并提出改进意见，THk(Using Matlab prepared on the Volterra series algorithm procedures, there are studies Volterra series can look and suggest improvements, THk)

说明：  this file contains the medical image processing. Here, I have to find the preprocessing methods. In this implementation i have to add the salt and pepper noise.

自己編寫的matlab代碼，實現fft函數及ifft函數功能(I have written matlab code to achieve the original fft function and the ifft function)