-
0470848685.Integrated.Photonics
integrated photonics ebook
- 2010-09-26 21:15:56下载
- 积分：1
-
vid_n_histog
code for extraction video histogram
- 2014-10-15 22:56:20下载
- 积分：1
-
Modified-GramSchmidt
Modified Gram-Schmidt (MGS)正交化法是利用已有正交基计算新的正交基。既能选择相关特征，又能排出已选特征对后续特征选择的影响。(Modified Gram-Schmidt (MGS)orthogonalization gives new orthogonal basis through original orthogonal basis. It can do the feature selection and eliminate the impact on choosing new feature vector by the selected one.)
- 2013-11-03 22:52:42下载
- 积分：1
-
matlab
说明： 本文档是用MATLAB仿真各种信号的波变换(This document is a variety of signals using MATLAB simulation of wave transformation)
- 2010-04-30 20:05:48下载
- 积分：1
-
refactorAutomtion
clear case 的操作，如check in check out (clear case handle client check in check out )
- 2013-12-04 21:24:08下载
- 积分：1
-
spharm
球谐函数的小程序，有必要的参考价值，对于理解有一定的帮助(Legendre function)
- 2011-12-22 17:15:10下载
- 积分：1
-
K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
-
ElectroMechWeb082505
说明： 关于电机驱动的一些simulink仿真代码。内含混合传动系统，pwm系统和弹簧质量系统。(On the number of motor-driven simulation simulink code. Containing hybrid drive system, pwm system and the spring mass system.)
- 2009-08-18 22:43:29下载
- 积分：1
-
GMVC
提供了广义最小方差控制的MATLAB程序，以及基于广义最小方差控制的自校正控制直接与间接算法的MATLAB程序。(Provides a generalized minimum variance control of MATLAB procedures, and direct and indirect algorithm of self-tuning control based on generalized minimum variance control.)
- 2013-08-27 19:07:14下载
- 积分：1
-
electric-field
模拟右手或左手材料为包覆层的矩形波导电场分布,可根据自己的选择修改参数。(This program can be used to simulate the field distribution of the rectangular waveguide.Some parameters can be modified by yourself.
)
- 2015-04-29 16:29:27下载
- 积分：1
