genetic-algorithm

该程序为matlab源代码，功能为仿真圆环阵的单元选择算法和笔形波束综合(failed to translate)

60个matlab的学习代码，对初学者帮助很大的~~~(60 codes of matlab programing )

MATLAB可绘制三维云图，并可对三维云图切片，并附有绘制二维云图的方法(Used for rendering 3Dcloud)

潮流准调和分析 Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd(y,D,Y,tm,A1) 计算6个准调和分潮的振幅系数和初相角公式 aM.m [N n aa liu_u liu_v]=aM() 基础系数矩阵，目前D和d值是取用的各段数据的中间时间值，t是以中间为0左右对称取； 视差潮龄A1需要预先得知 同时本程序负责读取原始测流数据，格式为 站位名称 观测数据段数N（即大 中 小潮） 第一段起始时间YYYY MM DD HH mm ss 第一段个数n1 speed direction speed direction ... 第二段起始时间 YYYY MM DD HH mm ss 第二段个数n2 speed direction speed direction ... 第三段起始时间 YYYY MM DD HH mm ss 第三段个数n3 speed direction speed direction ... UVg.m [U V Ug Vg]=UVg() 求调和常数U V和迟角Ug Vg Tuoyuan.m 计算各准调和分潮的椭圆要素W theta K k (The quasi harmonic analysis of tidal current Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd (y, D, Y, TM, A1) calculation of 6 quasi harmonic division of amplitude and initial phase angle formula of the coefficient of tide AM.m [N n AA liu_u liu_v]=aM () foundation coefficient matrix, the current D and D values are the middle time of each section of data taken the value of T is in the middle for symmetric about 0 Age of parallax A1 need to know in advance At the same time, this program is responsible for reading the original flow measurement data, format for Site name The observation data segment number N (that is, in the low tide) The first section of the YYYY MM DD HH mm the starting time of SS The first section number N1 Speed direction Speed direction ... The second section starting time YYYY MM DD HH mm SS The second section number N2 Speed direction Speed direction ... The third section starting time YYYY MM DD HH mm SS The third section number )

基于matlab的图像抠图程序，捕捉视频中的图像并进行抠图。(Based on matlab image matting process, capture video images and matting.)

中南大学信息院matlab实验报告 差分方程的脉冲响应，滤波器设计(failed to translate)

说明：  用matlab函数imhist()实现给定图像的直方图；函数histeq()实现直方图均衡化；对给定图像，各自指定直方图，进行直方图匹配，使图像增强。(Using matlab function imhist () to achieve a given image histogram function histeq () to achieve histogram equalization on a given image, each designated histogram, histogram matching, so that the image enhancement.)

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

利用粒子群算法和BP神经网络算法进行用电负荷的预测(prediction using partical swarm option and BP algorithm )

This package enables Gaussian process prediction with very large sample sizes with a much smaller computational burden than many existing methods.