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square2dTM
平面波展开法计算正方形结构光子晶体的带隙的程序,二维,平面(Plane wave expansion method to calculate the square of the structure of photonic crystal band-gap procedure, two-dimensional, planar)
- 2007-07-13 20:31:57下载
- 积分:1
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Comparar_DCT
program that compares the DCT of two matrix
- 2009-04-28 06:27:11下载
- 积分:1
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tfrppage
说明: page变换例程,可以对信号进行柯恩类时频分布中的page变换(page conversion routines, you can type on the signal time-frequency distribution of Cohen)
- 2008-10-13 10:48:10下载
- 积分:1
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IGES-Standard-Protocol-for-Feature-Recognition-CA
Standard of IGES format + matlab use
- 2014-12-13 04:51:11下载
- 积分:1
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Desktop
在matlab中实现三样条插值的两种方式(A three spline interpolation in two ways in matlab)
- 2013-04-27 17:04:48下载
- 积分:1
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leigs
拉普拉斯映射的基本思想是在高维空间中离得
很近的点投影到低维空间中的像也应该离得很近,最终求解归结到图拉普拉斯算子的广义特征值问题,本例为拉普拉斯调用函数,对于学习维数约简的同学或许有帮助.(The basic idea is the Laplace mapping from very near the point of projection in the high-dimensional space as low-dimensional space should be very close, and ultimately solving the generalized eigenvalue comes down to Figure Laplace operator problem, in this case call the function for the Laplace, the learning of students of dimensionality reduction may be helpful.)
- 2012-05-21 17:04:24下载
- 积分:1
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Matlab
雷达信号处理 阵列波束形成 最小均方误差 采样协方差矩阵求逆 Capon波束形成等等(Radar Signal Processing)
- 2014-11-24 20:26:05下载
- 积分:1
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New-Text-Document-(2)
that is useful code for communication
- 2013-03-14 17:31:24下载
- 积分:1
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fisher
费希尔线性判别分析代码
Find the Fisher linear separator w (a column vector).
X is is the training set (X is a matrix. Each row of X
is a vector containing the features of a single sample). y is
a column vector with the labels of the training set (1 and -1).
alg is a number between 1 and 3 that specifies how to find w:
alg = 1: w is the generalized eigenvalue of A,B.
alg = 2: w is the solution to Bw = (mu_1-mu_2)
alg = 3: solve the corresponding regression problem( Find the Fisher linear separator w (a column vector).
X is is the training set (X is a matrix. Each row of X
is a vector containing the features of a single sample). y is
a column vector with the labels of the training set (1 and-1).
alg is a number between 1 and 3 that specifies how to find w:
alg = 1: w is the generalized eigenvalue of A,B.
alg = 2: w is the solution to Bw = (mu_1-mu_2)
alg = 3: solve the corresponding regression problem)
- 2010-05-27 23:16:12下载
- 积分:1
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SupTatouageV0
Code for watermarking
- 2012-05-10 17:34:03下载
- 积分:1