-
9tap_equalizer
这个是9阶的lms自适应均衡器simulink,是教授给的材料,实际上只要修改阶数,能实现n阶lms自适应均衡器。(This is a 9 bands LMS adaptive equalizer simulink, is to teach the material to, in fact, as long as the modified order to realize n-order LMS adaptive equalizer.)
- 2008-05-17 14:53:13下载
- 积分:1
-
acquire
matlab实现对ccd相机的实时采集,gui显示图像,并进行处理(matlab to realize real-time acquisition ccd camera, gui display images, and processing)
- 2013-10-28 10:12:55下载
- 积分:1
-
chapter4
基于遗传算法的TSP算法的Matlab程序实现(Matlab program TSP algorithm based on genetic algorithm to achieve)
- 2014-02-19 12:10:28下载
- 积分:1
-
region-merging
说明: 图像分割that is right.region segmentation very good,you may see,that is right.region segmentation very good,you may see,that is right.(region segmentation very good,you may see,that is right.region segmentation very good,you may see,that is right.region segmentation very good,you may see,that is right.)
- 2011-04-17 15:54:54下载
- 积分:1
-
rsm_2order
响应面的2阶多项式估计,使用最小二乘法,算法精度高,data数据随便换其他的三维数据(2-order polynomial response surface is estimated using the least squares method, the algorithm accuracy, data data was replaced with other three-dimensional data)
- 2011-11-08 11:11:51下载
- 积分:1
-
tezhengzhi
矩阵特真问题求解,用于解矩阵的特征值,根据数值计算方法得到(Matrix special real problem solving for the solutions of eigenvalue, numerical methods are based)
- 2010-09-09 14:33:41下载
- 积分:1
-
lab3
It is about the Randome distribution
- 2011-05-07 13:24:18下载
- 积分:1
-
f4_26
Matlab 的 一个 应用实例, 用于绘制 频谱。(Matlab an application for mapping the spectrum.)
- 2006-09-10 16:32:42下载
- 积分:1
-
MA1101R
一些线性代数的基本运算,在matlab原来的自带函数里面没有包含。这些函数包括找某矩阵的本征向量和本征值,找其的转制以及绘图(Some basic operations of linear algebra, the original comes in matlab function which is not included. These functions include Looking for a matrix of eigenvectors and eigenvalues, find it in the restructuring and drawing)
- 2014-10-30 11:29:36下载
- 积分:1
-
kmeans
function [L,C] = kmeans(X,k)
KMEANS Cluster multivariate data using the k-means++ algorithm.
[L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class
label per column in X and a size(X,1)-by-k matrix C containing the
centers corresponding to each class.
Version: 07/08/11
Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be)
References:
[1] J. B. MacQueen, "Some Methods for Classification and Analysis of
MultiVariate Observations", in Proc. of the fifth Berkeley
Symposium on Mathematical Statistics and Probability, L. M. L. Cam
and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297.
[2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of
Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.
- 2011-12-22 19:38:16下载
- 积分:1