登录
首页 » matlab » circledetect

circledetect

于 2015-04-16 发布 文件大小:1KB
0 112
下载积分: 1 下载次数: 3

代码说明:

  Detecing circles using hough transform

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

  • 2-kinds-of-Genetic-Algorithms
    两个遗传算法的实现程序,用MATLAB编写。实现效果良好。(This software is a implementation of genetic algorithm, which is written by MATLAB.Using this software, we can have a good result.)
    2014-12-13 17:19:46下载
    积分:1
  • cpp-primer-code
    cpp-primer-code预编码,仅供参考(cpp-primer-code pre-coding, for reference only)
    2009-01-21 08:19:42下载
    积分:1
  • chap10
    这是较好的Matlab源代码,希望此代码能对大家有所帮助。(This is a better Matlab source code, I hope this code can be helpful to everyone.)
    2007-10-10 10:46:41下载
    积分:1
  • PV_Single_Phase
    单相光伏并网发电系统的simulink仿真。包含光伏电池模块、MPPT模块、BOOST模块、逆变模块等。(singal phase PV system simulink)
    2021-04-10 12:48:59下载
    积分:1
  • lazarus-manual
    lazarus-freepascal manual
    2015-03-17 19:12:47下载
    积分:1
  • BP
    说明:  BP神经网络的设计实例(MATLAB编程) (BP neural network design example (MATLAB Programming))
    2010-03-26 12:34:58下载
    积分:1
  • secant
    The function takes three input arguments (function and two initial guesses belonging to the interval). After iterations, it returns the root of the function. The fourth input argument is to change the stopping criteria of the loop.
    2013-09-21 18:56:19下载
    积分:1
  • stanford_convex_optimization_book
    国外的经典的有关于凸优化数学方面的教材,值得研究有关优化方面的研究者学习(Classic abroad on convex optimization mathematics textbooks, it is worth to study the optimization of the researchers studying)
    2010-06-12 13:35:08下载
    积分:1
  • nnoe
    one neccessary program for neural network training in control
    2009-11-14 01:52:07下载
    积分:1
  • circonv
    圆卷积与线卷积在FIR中的实现,通过程序还开深刻理解两者间的差别和各自优劣。 1.圆卷积用在被截出的某段数据中,此时,长度应该定为和输入数据长度一致(一般输入数据大于hn的数),这时圆卷积结果相当于某段被截断出来的数据以非截断的方式经过滤波而得出的结果;线卷积用在各自独立的,离散的数据中,若截断数据也用线性卷积来计算,那么就相当与这部分数据是与源数据是独立的, 得出的结果时域两端会变长,但频谱基本上一样的。差别可以想象。 2.注意圆卷积最开始的输入数据的次序,构造矩阵时要注意。(Circular convolution with the line convolution in the FIR implementation, the program also opened a deep understanding of the difference between the two and their respective pros and cons. A circular convolution with cut out a certain period of data At this point, the length should be set for the same length as the input data (typically input data greater than hn the number), when the circular convolution is equivalent to a certain the results of the truncated data to the non-truncated filtered line convolution with a separate, discrete data, truncated data with a linear convolution calculation, then the equivalent of this part of the data is independent of the source data, the results of both ends of the time domain becomes long, but the spectrum is basically the same. The difference can imagine. Note that the order of the circular convolution of the input data to construct matrix.)
    2012-06-28 04:36:25下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 42今日下载