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block_mp
压缩感知里面的稀疏重建问题,在原来MP的算法的基础上,提出了分块的思想,即将原子库分块后,测试算法的性能。(Compressive sensing is refered as the block sparse algorithm is described,that is based on the original MP algorithm,and the atom libruary is divided into blocks ,and the performance is testified.)
- 2010-10-27 19:10:08下载
- 积分:1
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knn_myself
一个自己编写的K近邻算法,是学习算法编写过程中最简单的一个哦,学习算法想自己学编程的可以看(A imagecut.rar K neighbor algorithm, is in the process of learning algorithm to write the most simple a oh, learning algorithm to learn programming can see
)
- 2011-11-18 16:06:17下载
- 积分:1
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jacobi
用jacobi和GS法解线性方程,只需输入系数矩阵和等号右边的矩阵(Use jacobi and GS method to solve the linear problem)
- 2010-12-22 19:42:53下载
- 积分:1
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estimate_hurst_exponent
估计Hurst指数的matlab代码,可以分析股票市场上的特点。(estimate hurst exponent)
- 2012-04-15 21:12:20下载
- 积分:1
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MSKxiangwei
MSK带初始相位的正交相位调制法,显示附加相位(MSK with the initial phase of the orthogonal phase modulation method, showed that additional Phase)
- 2007-05-13 10:54:16下载
- 积分:1
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eemd
总体经验模态分解,帮助理解经验模态分解的过程(ensembled empirical mode decomposition, to help understand the empirical mode decomposition process)
- 2015-01-27 19:50:59下载
- 积分:1
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sfpc
cstr状态反馈预测控制模型
matlab中S函数建立(cstr state feedback model predictive control matlab function in the establishment of S)
- 2010-06-06 17:47:36下载
- 积分:1
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mikaelian_r_n_2
计算光子二维晶体米卡良透镜折射率分布的程序,同时给出米卡良透镜在径向的晶体柱半径分布(Calculated two-dimensional photonic crystal lens refractive index distribution of Mika good program, and gives good Mika crystalline lens in the radial distribution of column radius)
- 2009-09-17 06:41:51下载
- 积分:1
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BBAG
the chanal awgn bbag
- 2010-01-20 00:34:14下载
- 积分:1
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lorentzfit
= lorentzfit (× )
lorentzfit 符合输入(× )与罗伦兹功能的形式
“ (× )= 1 / ((- 2)^ 2 + 3号)
输入
:因变量值[ 是] (× )
× :独立变量的值
输出功率
一:名单[ 1 2 3 ] 罗伦兹参数
示例
× = - 16:0.1:35
= 19.4 / ((- 7)^ 2 + 15.8)+ randn (大小(× )/ 10 )
= lorentzfit (× )
杰瑞德·威尔斯
11 / 15 / 11
杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x)
LORENTZFIT fits the input Y(X) with a Lorentzian function of the form
Y (X) = A1./((X- A2).^2+ A3)
INPUTS
Y : Dependent variable values [Y(X)]
X : Independent variable values
OUTPUT
A : List of Lorentzian parameters [A1 A2 A3]
EXAMPLE
x =-16:0.1:35
y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10
a = lorentzfit(y,x)
Jered R Wells
11/15/11
jered [dot] wells [at] duke [dot] edu)
- 2012-05-02 20:28:43下载
- 积分:1