登录
首页 » matlab » drawHist

drawHist

于 2018-09-27 发布 文件大小:27KB
0 260
下载积分: 1 下载次数: 6

代码说明:

  主要是实现如何绘制图像的直方图,对加密后图像效果进行分析(It is mainly how to draw the histogram of the image and analyze the image after encryption.)

文件列表:

drawHist, 0 , 2018-09-27
drawHist\drawHist.m, 309 , 2018-09-27
drawHist\zzr.jpg, 27450 , 2018-01-06

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

  • himself wrote for the refuse removal, like it used to clean up the garbage prett...
    自己写的垃圾清理器,喜欢的用吧,清理垃圾帧的不错-himself wrote for the refuse removal, like it used to clean up the garbage pretty good frame
    2022-04-14 23:44:11下载
    积分:1
  • C# GDI+绘图实例源码
    C# GDI+绘图实例源码,演示如何实现基本的GDI+绘图操作以及处理窗体显示事件,内含两个GDIDrawing绘图例子,可画直线、简单的几何图形等,如示例截图所示,比较基础的GDI+绘图实例。
    2022-03-21 22:21:52下载
    积分:1
  • ESF-TinyOS-MN010
    香港科技大学原创的tinos编程中文教程,PDF高清版。(HKUST original tinos programming Chinese tutorial, PDF HD version.)
    2013-08-03 13:07:09下载
    积分:1
  • Windows 3.0 programming primer / Alan Southerton. 此书的配套软盘
    Windows 3.0 programming primer / Alan Southerton. 此书的配套软盘-Windows 3.0 programming primer/Alan Southerton. The book matching floppy
    2022-09-22 07:25:03下载
    积分:1
  • 533_10228
    赛门铁客 赛门铁客 赛门铁客 赛门铁客(Symantec Symantec Symantec Symantec)
    2007-09-18 23:46:18下载
    积分:1
  • C语言菜鸟参考习题小汇总
    资源描述初学C语言时,是否为找不到满足心意的训练头脑的题目而感到烦恼呢?就让压缩包中的习题带你一起飞越C语言程序设计的思维高度,使你的水平上一层楼!
    2022-03-25 06:36:19下载
    积分:1
  • num2arr
    读取二进制文件,转换成相应字节,图形化输出(translate bin-type to hex-type.Give information about attitude)
    2017-07-04 10:05:26下载
    积分:1
  • LianJiaSpider-master
    采用了scrapy框架爬取链家网二手房的数据,可以导入到数据库中保存数据(Using the scrapy frame to climb the data of the second-hand house of the chain home network, it can be imported into the database to save the data)
    2017-12-23 21:54:18下载
    积分:1
  • 盲源分离
    常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化( Infomax )以及独 立成分分析( ICA )等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关, 一旦假设的概率密度与实际信号的密度函数相差甚远,分离性能将大大降低。本文提出采用 核函数密度估计的方法进行任意信号源的盲分离,并通过典型算例与几种盲分离算法进行了 性能比较,验证了方法的可行性。(The commonly used blind separation algorithms include two order statistics, higher order cumulants, and maximization of information Infomax) and independent component analysis (ICA). The conditions for obtaining the best performance of these methods are always related to the hypothesis of the probability density function of the source signal. The separation performance will be greatly reduced when the assumed probability density is very different from the density function of the actual signal. In this paper, a method of kernel function density estimation for blind separation of arbitrary signal sources is proposed. The performance of several blind separation algorithms is compared with some typical examples, and the feasibility of the method is verified.)
    2021-03-08 10:09:29下载
    积分:1
  • CoVaR
    说明:  CoVaR 模型的参数估计,可以运行,自己需要对参数做一些修改(CoVaR model caculation)
    2020-08-25 19:18:15下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载