-
k-means
名为k-means的MATLAB函数,实现k均值算法。输入矩阵X,w,输出最终估计值和聚类的标识数字。(Called the k-means of the MATLAB function, to achieve k means algorithm. Input matrix X, w, the output value of the final estimates and cluster identification number.)
- 2010-09-27 11:13:30下载
- 积分:1
-
linefitting
linefitting and curve fitting
- 2012-04-26 21:02:46下载
- 积分:1
-
polyfft
polyfft processing for channalizer filter
- 2010-07-09 11:12:06下载
- 积分:1
-
gaussianLR
说明: 图像处理里面的 椒盐分布 matlab里面图像处理很常用的 (Salt-pepper distribution)
- 2011-03-28 15:21:21下载
- 积分:1
-
MATLAB
matlab在通信中的仿真应用 移相键控(matlab simulation applications in communications phase shift keying)
- 2011-08-09 20:22:05下载
- 积分:1
-
one-Genetic-algorithm-Matlab-example
关于遗传算法的matlab实例,包括编码、交叉等操作,涉及Sheffield大学Matlab遗传算法工具箱的相关函数(Genetic algorithm Matlab examples, including coding, cross and other operations involving the correlation function of the University of Sheffield Matlab genetic algorithm toolbox)
- 2013-05-10 09:37:36下载
- 积分:1
-
iphone
二维码编码,QR码实现,Two-dimensional coding, QR code to achieve, Two-dimensional coding(Two-dimensional coding, QR code to achieve, Two-dimensional coding)
- 2010-09-07 09:22:17下载
- 积分:1
-
Chapter_3
Matlab files of chapter 3 kalman filtering 3 edition of grewal
- 2009-06-12 17:47:56下载
- 积分:1
-
imagesegment
说明: 实现图像的分割。改程序是在matlab环境下运行的,程序中用到了k-means算法,实现的结果很不错(This is the program of image segmentation based on the following work:
S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image Processing.
Note that this program was only tested on 32-bit PCs installed with Windows XP or Windows Server 2003. Since the K-means algorithm used in this program is from Matlab Statistics Toolbox, the program runs slower than when a faster K-means algorithm is used which can be obtained at http://vision.ucsd.edu/~pdollar/toolbox/doc/. The program was tested using Matlab R14 and the image processing Matlab Toolbox is required to run it.)
- 2010-04-30 17:44:01下载
- 积分:1
-
lab3
lear
N = 10^5
EB_NO = [-1:30]
liu1 = zeros(1,N)
liu2 = zeros(1,N)
for ii = 1:length(EB_NO)
m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1)
s = (1/sqrt(2))*m normalization of energy to 1
n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]
- 2012-05-17 19:57:23下载
- 积分:1