登录
首页 » matlab » yiyuanhanshuyouhua

yiyuanhanshuyouhua

于 2014-12-09 发布 文件大小:1KB
0 221
下载积分: 1 下载次数: 1

代码说明:

  将遗传算法应用于一元函数的优化,程序运行通过!(a GA)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • LP01
    计算光子晶体的lp01模场分布,和截面场分布彩图(calculation of photonic crystal lp01 mode field distribution, and section distribution maps)
    2021-03-01 23:19:34下载
    积分:1
  • Untitled6
    说明:  下载数据,滤波变换,Hilbert变化,坐标变换,Matlab作图(Download the data, filter transform, Hilbert change, coordinate transformation, Matlab mapping)
    2010-04-17 11:58:24下载
    积分:1
  • plot_hht
    matlab code for Hilbert-Huang Transform
    2015-02-03 14:42:27下载
    积分:1
  • glp
    matlab 功率谱程序设计 (matlab power spectrum program design)
    2009-11-24 11:24:17下载
    积分:1
  • facecode
    说明:  人脸识别matlab程序 with a principal components analysis for a set of face images as the theme(Face recognition matlab procedures with a principal components analysis for a set of face images as the theme)
    2008-11-20 11:16:32下载
    积分:1
  • MatLab
    Matlab实现NetworkCoding、reinform、SinglePath仿真(Matlab achieve NetworkCoding, reinform, SinglePath simulation)
    2014-10-17 10:03:23下载
    积分:1
  • hht
    使用了plot_hht程序包,其使用了三个终止条件,驻留分量的单调性,极值点与零点的个数相差不超过1,还有黄锷1998经典文献提出的 (matlab hht)
    2011-12-26 10:31:37下载
    积分:1
  • water1
    声线图,找的,可以看看,比较简单,可以用一下(shengxiantu,is found by me)
    2009-03-07 10:21:38下载
    积分:1
  • ZCR
    autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)
    2013-05-26 22:12:50下载
    积分:1
  • LFM-t
    适用于雷达方面学习的初学者熟悉相关参数设置了解相关线性调频信号离散化,匹配滤波的产生方法等一系列基本问题。比较时域和频域不通滤波方法的区别(Beginners apply to radar aspects of learning to understand familiar with the parameters related to the chirp signal discrete, matched filtering to produce a series of basic questions like. Comparison of time domain and frequency domain filtering method fails difference)
    2015-07-11 12:04:27下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载