cutting-plane-method

Robust Eye Detection

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

Algorithme de segmentation

利用加权的排列熵算法WPE，通过白噪声加冲激信号的测试(Using the weighted permutation entropy algorithm WPE, through the white noise plus impulse signal test)

说明：  1. 应用window的moveTo和moveBy编写一程序实现窗口的移动和定位(1. Application window of the moveTo and moveBy write a program to achieve the movement and positioning of the window)

神经网络修改BP辨识算法，用于辨识复杂的非线性系统，相对传统BP算法，具有计算快等优点(Modify BP neural network recognition algorithm for identification of complex nonlinear system, compared to the traditional BP algorithm has the advantages of quick calculation)

Descriptor for simple shapes (e.g letters). Computes the descriptor twice in order to describe horizontally and vertically with the same accuracy. Input: image (2-D, binary or gray) depth of recursion (default 7), plotFlag(if on - plot Illustration) Output: vec - descriptor: Division locations, values around zero. Of length 2*(2^depth - 2) (levels: the depth of the division locations.)

matlab获取PCA特征的小程序，适合初学者(matlab access characteristics of a small PCA procedures, suitable for beginners)

小波谱分析mallat算法经典程序 clc clear ％％ 1.正弦波定义 f1=50 ％ 频率1 f2=100 ％ 频率2 (Mallat algorithm for spectral analysis of small classical procedures clc clear 1. Sine wave definition of f1 = 50 frequency of 1f2 = 100 frequency of 2)

非稳态二维热传导有限差分法matlab的代码(The unsteady two-dimensional heat conduction finite difference method matlab code)