单变量寻优

车牌识别，自己用matlab做的车牌设别简单程序(License plate recognition, license plate to do their own design with matlab do simple procedures)

希尔伯特——黄HHT中的EMD分解过程,一个emd模型的版本(Hilbert- Huang HHT in the EMD decomposition process, a model version of the emd)

FOR IMAGE RETRIVAL USING WAVELET01

Designs a linear phase FIR lowpass filter such that it: - minimizes the filter order - has a constraint on the maximum passband ripple - has a constraint on the maximum stopband attenuation (This is a quasiconvex problem and can be solved using a bisection. minimize filter order n s.t. 1/delta <= H(w) <= delta for w in the passband |H(w)| <= atten_level for w in the stopband where H is the frequency response function and variable is the filter impulse response h (and its order/length). Data is delta (max passband ripple) and atten_level (max stopband attenuation level). )

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

在MATLAB 环境下一些图像处理的例子，MATLAB R2008数字图像处理与分析实例教程源程序.(Some examples in MATLAB environment for image processing, MATLAB R2008 digital image processing and analysis tutorial examples source.)

Simulink linear pll

说明：  一个用于求圆周率pi的matlab算法。题目背景：取一长面积为1平方米的正方形白纸，在白纸的内部画一个直径为1米的圆，如下图所示。此圆恰好与正方形的四条边分别切于一点，它的面积是 pi*（1/2）^2 =pi/4 ,然后，你可以抓一大把芝麻，一粒一粒地随便地扔到白纸上。在你扔麦子的过程中可以请一位朋友帮助记录：一共扔了几次？有几次是扔在圆里面？ 实验结束后，你只须用“芝麻落在圆里的次数”除以“一共扔的次数”得到的结果就是圆的面积。则pi就是“圆的面积*4”了 当然，你扔的次数越多，结果就越精确！()

此代码为17年全国大学生数学建模竞赛A题程序(This code is a 17-year National College Students Mathematical Modeling Competition A program)

HL计算工程结构可靠度的简单算例1 包含例题，HL法计算，Matab自带抽样，自编monte carlo抽样(HL Method and Monte Carlo Method for Solving Reliability Index of Structures)