sampling-and-reconstruction-code_matlab

Solving beam problem

在转速为48K/min时，滚动体的几个时域波形(In speed for 48 k/min, rolling body several time domain waveform )

face detecte sken and

主要完成了8个部位脑电波数据的读取及动态曲线绘制，并添加了相应的波动曲线以便观察脑电信号的变化差异.附加脑电波原始数据，可成功运行。(Mainly completed reading and drawing dynamic curves from eight parts of the brain wave data, and add the corresponding fluctuation curve in order to observe differences in changes in EEG. Additional raw brain wave data can be run successfully.)

matlab经典算法的程序 其中包括：插值与拟合、绘图、数据分析、规划问题、Arithmetic等(Matlab classical algorithm procedures including : interpolation and fitting, mapping, data analysis, planning, Arithmetic etc.)

function [BESTX,BESTY,ALLX,ALLY]=ImageClassify(K,N,Pm,LB,UB,D,c,m)

颜色共生矩阵的计算，速度很快，好还用，要自己写入输入算法(Color co-occurrence matrix calculation, very fast, good also with)

matlab ieee modified 30 bus data and pso economic disaptch

说明：  传递矩阵法计算梁的横向振动频率，各种边界条件(Frequency calculate by TMM for beam vibration, free-free boundary conditions, simply supported)

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)