登录
首页 » matlab » hough_circle

hough_circle

于 2008-11-11 发布 文件大小:1KB
0 203
下载积分: 1 下载次数: 0

代码说明:

说明:  hough变换对圆的检测,h ough变换对圆的检测(hough transform circle test, h ough transform for circle detection)

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

  • OFDM_pulse_compress_nogate
    雷达ofdm信号 采用多脉冲发射 利用通信原理中ofdm多载频技术 绝对好用 毕设代码(radar ofdm signal)
    2021-03-16 22:29:21下载
    积分:1
  • OFDM_DETECTION
    OFDM检测的仿真,通过计算OFDM的归一化4阶累积量,实现OFDM信号的判决,内含升余弦滚降滤波或内插滤波的频谱图(OFDM simulation test, by calculating the normalized OFDM 4th order cumulant, to achieve decision OFDM signal, containing Raised Cosine filter or interpolation filter of the spectrum)
    2011-05-05 09:44:58下载
    积分:1
  • 2006121819221395587
    MATLAB数字图象处理的主要源码.包括图象去噪变换增强恢复识别压缩的各种算法(MATLAB digital image processing the main source. Transform Image Denoising including enhanced recovery recognition of the compression algorithms)
    2007-01-21 11:01:59下载
    积分:1
  • lowpass-filter
    基于matlab的最优化方法设计FIR低通滤波器(Based the matlab optimization method design FIR low-pass filter)
    2013-05-05 23:42:09下载
    积分:1
  • statcom_48pulsewind
    Matlab code for 30 bus system to determine ATC
    2021-04-17 17:28:52下载
    积分:1
  • MVT_v1_0
    Matlab公司推出的marine virtual reality toolbox,利用VRML脚本语言将船舶航行状态虚拟可视化(Matlab has introduced a marine virtual reality toolbox, using VRML scripting language to the state of virtual visual navigation)
    2010-08-04 08:53:48下载
    积分:1
  • Binary-Genetic-Algorithm
    A genetic algorithm (GA) is a search heuristic that mimics the process of natural selection.
    2014-09-18 21:17:30下载
    积分:1
  • paper1
    一种上行小区间干扰协调的方法.pdf (An uplink inter-cell interference coordination method .pdf)
    2014-11-02 21:14:51下载
    积分:1
  • zb
    说明:  此代码能实现钟表的运行,时间与系统时间一致,并且出现时针分针秒针(This code can be run timepiece, time consistent with the system time, hour and minute hands and the second hand occurs)
    2014-12-18 23:54:27下载
    积分:1
  • fit_ML_normal
    fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML
    2011-02-09 19:09:33下载
    积分:1
  • 696518资源总数
  • 105958会员总数
  • 18今日下载