iris pattern recognition for eye scan
标签： recognition pattern iris scan
上传时间： 2013-12-21
上传用户：851197153
eye matching using Circular hough transform for eyedetection and precise eyes location. it is a very good code that works on both grayscale and jpg image.
标签： eyedetection transform Circular matching
上传时间： 2017-05-01
上传用户：jiahao131
feature based eye tracking docs
标签： tracking feature based docs
上传时间： 2017-09-15
上传用户：龙飞艇
grid eye evaluation kit
标签： grid eye
上传时间： 2017-05-19
上传用户：cliburn
Abstract: Stuxnet, a sophisticated virus that damaged Iran's nuclear capability, should be an eye openerfor the world. We can choose to learn something very narrow (how to combat the Stuxnet virus) or wecan choose to focus on the larger goal of thwarting the next type of creative cyber attack. Unfortunately,critical industrial infrastructure is not currently designed with security as a key goal, leaving open multipleavenues for an educated and funded attacker to create massive problems. This tutorial outlines somebasic concepts that engineers and product definers should consider to make sure their new projects stayahead of future threats.
上传时间： 2013-11-17
上传用户：llwap
Blind Equalizer 的演算法主要是利用CMA及 LMS 的配合，当CMA将eye打开，使讯号趋近于正确值，就切换到LMS，利用Slicer的输出当作training sequence来调整Equalizer的系数，而Carrier Recovery 的部份，则是将phase error track出来
上传时间： 2013-12-28
上传用户：it男一枚
一个用MATLAB写的实现通信中眼图功能的S函数，.m格式，与 simulink中的eye diagram一样
上传时间： 2015-10-02
上传用户：tianjinfan
This collection of 28 research papers provides an insightful overview of past and current research findings in Project Management, and takes an eye-opening excursion along frontiers fertile for future investigation.
标签： research collection insightful overview
上传时间： 2014-01-02
上传用户：ecooo
function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 ％ Exponent for U max_iter = 100 ％ Max. iteration min_impro =1e-5 ％ Min. improvement c=3 [center, U, obj_fcn] = fcm(data, c) for i=1:max_iter if F(U)>0.98 break else w_new=eye(in_n,in_n) center1=sum(center)/c a=center1(1)./center1 deta=center-center1(ones(c,1),:) w=sqrt(sum(deta.^2)).*a for j=1:in_n w_new(j,j)=w(j) end data1=data*w_new [center, U, obj_fcn] = fcm(data1, c) center=center./w(ones(c,1),:) obj_fcn=obj_fcn/sum(w.^2) end end display(i) result=zeros(1,data_n) U_=max(U) for i=1:data_n for j=1:c if U(j,i)==U_(i) result(i)=j continue end end end
标签： data function Exponent obj_fcn
上传时间： 2013-12-18
上传用户：ynzfm
Mastering the Requirements Process, Second Edition, sets out an industry-proven process for gathering and verifying requirements with an eye toward today s agile development environments. In this total update of the bestselling guide, the authors show how to discover precisely what the customer wants and needs while doing the minimum requirements work according to the project s level of agility.
标签： industry-proven Requirements Mastering gatherin
上传时间： 2013-12-08
上传用户：璇珠官人
