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一个用MATLAB开发的GUI程序,程序本身是用来进行图像的灰度变换,但是是学习GUI入门编程的好代码,初学者不妨一读(Using MATLAB development of a GUI program, the program itself is used for images of gray-scale transformation, but to learn GUI programming a good entry-code, one may wish to read for beginners)

Liver Images Classifying in matlab program

此算法实现了对多径信号的优化，仿真结果显示具有很好的效果(multipath estimation)

传统的近似三角形内点测试( APIT),即近似三角形内点测试定位算法,广泛应用于静态节点定位.结合粒子滤波提出改进算法,将APIT算法推广到节点动态定位.(Traditional approximate point inside the triangle test (APIT), namely the approximate point within the triangle test positioning algorithm, widely used in the static node localization. Combined with particle filter algorithm is proposed to improve the APIT algorithm is extended to the node dynamic positioning.)

粒子群算法用于桥式系统的可靠性优化。算法简单可靠方便。(Particle Swarm Optimization for the bridge system reliability optimization. Algorithm to facilitate a simple and reliable.)

useful data for matlab

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)

MATLAB实现单神经元PID控制，在智能控制算法中，运行结果较好。(MATLAB single-neuron PID control, intelligent control algorithm, the results better.)

Error Correcting Code Using Matlab

Jackknife PARAFAC, 用在多维线性分解.(Very famous Jackknife parafac, suited for multi-way data decomposition.)