-
dec2bin
decimal to binery converter
- 2013-11-08 06:26:30下载
- 积分:1
-
matlab-histogram-equalization
matlab中实现直方图均衡化,图像必须是灰度图像,真彩色要转化为灰度图才能正确处理。(matlab histogram equalization, the image must be grayscale images, true color to be converted to grayscale to be processed correctly.)
- 2013-04-25 16:42:03下载
- 积分:1
-
ATM-Skimming
ATM skimmingia a method used by criminals to capture data from the magnetic stripe on the back of an ATM card.
- 2014-09-03 18:56:59下载
- 积分:1
-
GLMetaseq.h
让ARToolKit支持MQO模型的必须头文件,GLMetaseq.h(Let ARToolKit support MQO model must header files, GLMetaseq.h)
- 2014-02-09 23:10:11下载
- 积分:1
-
LS
说明: 基于ofdm,利用导频Comb Pilot进行信道估计,(Based on ofdm, use Comb Pilot to pilot channel estimation,)
- 2009-04-20 20:53:20下载
- 积分:1
-
first-order-difference-
matlab数据处理程序:用一阶差分法剔除数据(Excluding first-order difference data)
- 2021-04-19 19:48:51下载
- 积分:1
-
programs
《数字信号处理:基于计算机的方法(第三版)》资源下载第三部分。
著者: (美)米特拉著
作译者: 孙洪等译
ISBN号: 7-121-02652-X
出版日期: 2006-06
出版社:电子工业出版社
这是本书的精华部分,内有书中从第二章(chap02)到第十一章(chap11)的程序源代码。加上之前本上上传的DEMO文件,对语音,图片,视频信号的数字处理有更好的理解。()
- 2008-07-06 08:27:15下载
- 积分:1
-
zhuchengfen
利用matlab软件进行主成分分析,并做成图形用户界面(Using matlab software for principal component analysis, and made the graphical user interface)
- 2012-05-23 15:23:26下载
- 积分:1
-
matlab
matlab 指令介绍 指令介绍 matlab 指令介绍 指令介绍(introduction matlab matlab Directive introduces instruction instruction instruction introduction introduction)
- 2013-09-13 20:33:27下载
- 积分:1
-
bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied
to network intrusion detection. The basic task is to classify network activities (in the network log
as connection records) as normal or abnormal while minimizing misclassification. Although different
classification models have been developed for network intrusion detection, each of them has its strengths
and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the
Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM
method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is
implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC
(Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both
classification rate and run-time efficiency.
- 2013-12-21 13:40:52下载
- 积分:1