Matlab

癫痫脑电数据的小波分解，对数据进行离散小波变换(Epileptic EEG data decomposition, discrete wavelet transform on the data)

Model predective control

基于matlab的GUI曲柄摇杆机构的运动仿真的源程序。结果是运动的界面，输入参数可以求出摇杆机构的加速度，角加速度，极位夹角，行程速比系数等。(GUI crank rocker mechanism movement simulation based on matlab source program. Result is movement of the interface, input parameters can be calculated rocker mechanism of acceleration, angular acceleration, ultimate position Angle and travel speed ratio coefficient, etc.)

中心化后的傅里叶谱，傅里叶频谱和平均值,计算图像的平均值(Fourier spectrum and average value)

this document gives the information about fir filter in matlab..

radiation pattern of dipole antenna with 6 element and phi equal to pi / 2

是美国统计学家萨尔斯伯格以“女士品茶问题”为切入点所著的一部关于统计学历史与变革的书，以一种全新的视角带领读者进入统计学的世界，体会统计学带给哲学观、宇宙观的变革(Salthe Berg statistician USA to Lady Tasting Tea problem as the starting point of a statistical history and change of the book, with a new view and lead the reader into the world of experience of statistics, statistics to philosophy, cosmic view change)

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)

ABC算法的源码找来逐行做了中文注释，并以优化SVM参数为例，进行学习。(ABC algorithm source code got to do a progressive Chinese comments, and to optimize the SVM parameters, for example, to learn.)

计算两个信号的自相关和互相关函数，并作图表示(Calculation of two signal autocorrelation and cross correlation function, and mapping that)