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OMP
OMP算法在压缩传感中的应用,这是一个m文件。(Orthogonal Matching Pursuit Algorithm for Compressive Sensing)
- 2009-11-13 16:16:21下载
- 积分:1
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CreateSOMNet
创建一个som的代码,并归一化,内含网络结构的详细参数(Create a som of the code, and normalized, containing detailed parameters of the network structure)
- 2008-05-29 16:52:13下载
- 积分:1
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Ch3-mfiles
数字信号处理实践方法(第2版)书中有关的代码,很有实用价值(Digital signal processing practices (2nd Edition) book-related code, and very practical value)
- 2010-01-05 18:39:49下载
- 积分:1
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MATLAB
说明: 包含多章MATLAB典型程序与应用,对初学者很有帮助(Chapter contains more than the typical process and application of MATLAB, very helpful for beginners)
- 2009-08-15 23:07:49下载
- 积分:1
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Image_Processing_Toolbox_Release_Notes
Matlab官方文档:Matlab图形工具箱ReleaseNote(Matlab official documents : Matlab graphics toolbox ReleaseNote)
- 2006-05-26 11:45:52下载
- 积分:1
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3F¨
matlab图象处理函数(matlab imagery processing function matlab imagery processing
function matlab imagery processing function matlab imagery processing
function )
- 2006-06-04 09:42:02下载
- 积分:1
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nsga_2
我自己编写的简单的nsga2程序,对于初次接触该算法的朋友会有很大帮助(I have written a simple nsga2 program will be very helpful for the initial contact with the friends of the algorithm)
- 2013-04-16 09:29:54下载
- 积分:1
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ASSIGNMENTSharp2
PLOTING TERMINAL REACTIVE POWER (-QS /PO or QR/ PO) REQUIREMENTS OF SYMMETRICAL LINE, AS A FUNCTION OF POWER TRANSMITTED (P / PO) AND LINE LENGTH
TAKE LEGTH OF TRANSMISSION LINE 100 KM, 200 KM, 400 KM & 600 KM.
- 2012-01-28 04:08:49下载
- 积分:1
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adaboost_for_matlab
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)
- 2020-10-21 21:17:23下载
- 积分:1
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template-source
Template library source code package
- 2014-09-30 15:08:19下载
- 积分:1