登录
首页 » matlab » circle_fit

circle_fit

于 2009-06-28 发布 文件大小:4KB
0 64
下载积分: 1 下载次数: 18

代码说明:

  圆方程的拟合Matlab代码圆方程的拟合Matlab代码(Fitting equation round round Matlab code for fitting equations Matlab code)

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

  • SSB
    SSB调制 完整的调制和信号功率谱与眼图(SSB modulation and signal integrity of the modulation power spectrum and eye diagram)
    2009-04-12 22:38:29下载
    积分:1
  • Introduction-to-four-classic-articles-OFDM
    Introduction to four classic articles OFDM
    2011-01-13 10:57:56下载
    积分:1
  • chap1
    基于遗传算法的PID参数优化的MATLAB程序,采用的是二进制编码方式,通过传递函数的离散经过适应度计算 选择复制 交叉 变异操作得到最优解。(PID parameters based on genetic algorithm optimization of the MATLAB program, using the binary encoding, by the discrete transfer function adapted calculation select Copy crossover, mutation operations to obtain the optimal solution.)
    2010-05-10 16:03:06下载
    积分:1
  • lyapunovexponents(2)
    混沌理论,四翼混沌,两翼混沌,间隙混沌,超混沌,等等混沌(Chaos theory, four-wing chaotic, two wings of chaos, space chaotic attractor, chaos, etc.)
    2010-05-29 19:37:51下载
    积分:1
  • MaxMatriz
    This program is able to obtain the maximun value of a given matrix NxM. The output arguments are the maximun value,the row ande the column in wich this value locates.The input value is a matrix os NxM.
    2012-06-10 07:23:12下载
    积分:1
  • c
    说明:  这是一篇由于移动机器人路径规划与避障的文献。很好的(This is one of the mobile robot path planning with obstacle avoidance literature. Good)
    2012-12-02 21:37:16下载
    积分:1
  • qamand16psk
    主要是QAM与16PSK频谱仿真、误码率比较仿真以及各自的星座图(Mainly QAM spectrum with 16PSK simulation, emulation, and error rate between the respective constellation)
    2010-06-12 10:57:42下载
    积分:1
  • SVD
    SVD point matching .I write it by myself .and it can work in matlab.but the result is not well
    2014-12-27 19:22:56下载
    积分:1
  • EAMMH.m
    matlab code for EAMMH routing protocol for WSN
    2015-02-22 20:06:16下载
    积分:1
  • SPGP_dist
    这是一个关于稀疏高斯过程的matlab源码,可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)
    2021-05-13 07:30:02下载
    积分:1
  • 696524资源总数
  • 103938会员总数
  • 55今日下载