登录
首页 » matlab » chapter9-image-transform-domain

chapter9-image-transform-domain

于 2014-08-07 发布 文件大小:3893KB
0 225
下载积分: 1 下载次数: 1

代码说明:

  数字图像处理与机器视觉-visual C++与matlab实现,第9章配套源程序(Digital image processing and machine vision of-visual C++ and MATLAB, the 9th chapter matching source)

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

  • simple_PLL
    PLL SIMPLE FOR MATLAB
    2012-04-13 23:27:53下载
    积分:1
  • ofdm3
    用于OFDM系统中降低papr的一种算法,改程序简单易懂(Reduce papr an algorithm for OFDM systems, change the procedure is simple and easy to understand)
    2012-07-11 10:48:27下载
    积分:1
  • SPECRND
    生成指定概率分布的随机数,可用于数学与金融的随机分析(Specify the probability distribution of randomly generated number, can be used for the stochastic analysis and financial mathematics)
    2011-10-15 17:14:52下载
    积分:1
  • code
    this code generates flicker signal
    2015-01-08 13:52:19下载
    积分:1
  • MTDC
    多端交直流潮流程序计算,交替迭代法,将直流嵌入交流计算中,方便后期改编.(Multiterminal DC flow calculation program)
    2021-04-07 17:19:01下载
    积分:1
  • multipath_estimation
    直扩系统中的多径干扰信号的估计消除技术,通过仿真标量多径对直达信号的鉴相特性的影响。。(DSSS system multipath interference estimate signal cancellation technology, through the simulation of scalar multi-path of the direct signal phase characteristics. .)
    2009-12-16 21:16:39下载
    积分:1
  • New-folder
    this is a one program about active contour
    2011-05-10 15:33:06下载
    积分:1
  • sgnn1
    ISGNN是对SGNN(self-generated neural network)的一种改进,是一种在线学习的算法.(ISGNN of discrete (self-generated neural netw EFCs) an improvement, an online learning algorithm.)
    2007-04-11 02:31:25下载
    积分:1
  • MOSGA4
    基于SPEA方法的多目标遗传算法程序,本程序为通用包,可自行修改.(based SPEA methods of multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)
    2007-04-28 12:10:04下载
    积分:1
  • hsmm
    说明:  隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
    2019-05-27 12:01:38下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载