-
photonic-crystal-plane-wave-method
二维光子晶体能带结构算法和三维光子晶体能带结构算法,主要是平面波展开法计算的(Two-dimensional and three-dimensional photonic crystal band structure algorithms)
- 2013-10-17 21:06:42下载
- 积分:1
-
PSO
粒子群算法之一,可在matlab中运行,分析一些函数的最优化问题(a kind of particle swarm, can be used in matlab)
- 2020-06-22 13:00:02下载
- 积分:1
-
Load_Images
The following function, defined in load_images.m, is an example of how to read a bunch of images, make column vectors out of each of them, and return the result.
- 2011-06-14 04:45:10下载
- 积分:1
-
pgpi
PGPI(NUM,DEN,W,FI,A) plots the stability boundary locus L(KP,KI,W)in the (KP,KI)-plane for an LTI system with transfer function defined by its NUM, DEN coefficients and driven by a PI controller with transfer function, C(s)=kp+(ki/s). Frequency (W) gridding becomes important. Phase Margin, FI, and Gain Margin, A, can be defined.
The method works for open loop stable or unstable, minimum or nonminimum phase systems.
With Examples.
Method and examples used are form "Computation of Stabilizing PI and PID Controllers" by Nusret Tan, Ibrahim Kaya and Dereck P. Atherton.
MATLAB release MATLAB 7.5 (R2007b)
- 2011-04-18 23:07:06下载
- 积分:1
-
OFDM_4QAM
Matlab simulink of OFDM 4 QAM
- 2011-05-17 07:27:48下载
- 积分:1
-
mysmo
pmsm smo contorl mdl file.
- 2012-05-14 11:35:58下载
- 积分:1
-
ssim_index
基于结构相似性的图像质量评价算法SSIM(Image quality assessment metric (Structural similarity index))
- 2013-07-20 17:08:04下载
- 积分:1
-
untitled2
基于matlab/simulink的两相混合式步进电机的电机主体仿真(simulation of stepper motor)
- 2014-03-02 14:35:14下载
- 积分:1
-
kl
说明: (1)应用9×9的窗口对上述图象进行随机抽样,共抽样200块子图象;
(2)将所有子图象按列相接变成一个81维的行向量;
(3)对所有200个行向量进行KL变换,求出其对应的协方差矩阵的特征向量和特征值,按降序排列特征值以及所对应的特征向量;
(4)选择前40个最大特征值所对应的特征向量作为主元,将原图象块向这40个特征向量上投影,所获得的投影系数就是这个子块的特征向量。
(5)求出所有子块的特征向量。
((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)
- 2007-08-07 18:04:13下载
- 积分:1
-
iskh10_matlab_basic
pdf and CDF comparision
- 2012-04-08 01:01:28下载
- 积分:1