-
AnnInMat
matlab写的神经网络的几个演示程序,有的是自己写的,有的是根据别人写的改的,bp、rbf、pnn、hopfield等(matlab neural network to write a few demo program, some wrote it myself, some other people to write in accordance with the change, bp, rbf, pnn, hopfield etc.)
- 2007-08-13 20:35:43下载
- 积分:1
-
LDPCcode
利用函数MadHG生成规则LDPC码的校验矩阵H,其行重为6,列重为3,行数为列数一半(行数越大越好),H中任意两列没有围长为4的圈,并得到H对应的生成矩阵G,可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)
- 2007-05-12 10:49:48下载
- 积分:1
-
rgb2hsi
将格式为rgb的数字图像转换成格式为hsi的数字图像,方便简单,操作容易(change rgb image into hsi image)
- 2010-10-13 15:09:00下载
- 积分:1
-
matlabsourcecodeforfigure
指纹识别技术的matlab源程序。可以基于这些代码进行二次开发。在matlab中,设置当前的目录为工作目录,在命令行中输入fpextractdemo,即可运行程序。(Matlab source fingerprint recognition technology. Can be based on the code for secondary development. In matlab, set the current directory as working directory, the command line, enter fpextractdemo, you can run the program.)
- 2010-12-10 11:02:56下载
- 积分:1
-
example
彩色图像检索的示例大概步骤的程序。彩色图像检索的示例大概步骤的程序。(failed to translate)
- 2012-04-30 17:16:08下载
- 积分:1
-
bag-of-local-features-models-master
matlab bag-of-local-features-models-master
- 2020-06-24 21:40:01下载
- 积分:1
-
多机器人系统的群集编队控制理论仿真程序
多机器人系统的集群控制仿真实现,其中运用势场法实现了集群的稳定(Realization of Cluster Control Simulation for Multi-Robot System)
- 2020-06-22 17:40:02下载
- 积分:1
-
FIRTest
Finite Impluse Response
- 2010-11-19 23:24:54下载
- 积分:1
-
Graphe14et15kalman
application de filtre de kalman sur la deconvolution
- 2010-02-25 02:21:57下载
- 积分:1
-
filter
M=63 J=(M-1)/2 Wp=0.5*pi Ws=0.6*pi
Np=100 Ns=100
weightp=1 weights=100 通带和阻带的加权系数
WpN=linspace(0,Wp,Np)
WsN=linspace(Ws,pi-0.05,Ns)
Wm=[WpN WsN]
p=[ones(1,50),ones(1,50)/2]
d=[p,zeros(1,Ns)]
W=diag([weightp*ones(1,Np),weights*ones(1,Ns)])
C=cos(Wm*[0:J])
Q=diag(cos(Wm*0.5))
g=(W*Q*C)(W*d) g=g
h=(g(J:-1:2)+g(J+1:-1:3))/4
h=[g(J+1)/4 h g(1)*0.5+g(2)/4]
h=[h fliplr(h)] W=linspace(0,pi-0.1,512)
H=freqz(h,1,W)
plot(W/pi,20*log10(abs(H)))
(filter design)
- 2013-05-18 20:47:33下载
- 积分:1